{"data":{"company":{"name":"Shield AI","slug":"shield-ai","logo_url":"https://logos.yubhub.co/shield.ai.png","canonical_domain":"shield.ai","editorial":null,"wikidata_id":null,"founded":null,"ceo":null,"founders":[],"hq_location":null,"industry":null,"employee_count":null,"official_website":null,"wikipedia_url":null,"stock_ticker":null,"stock_price":null,"market_cap":null,"revenue":null,"ipo_date":null,"sector":null,"full_time_employees":null,"company_description":null,"twitter_username":null,"linkedin_id":null,"instagram_username":null,"facebook_id":null,"parent_org":null,"country":null,"github_org":null,"github_public_repos":null,"github_followers":null,"github_verified":0,"github_description":null,"github_location":null,"github_blog":null,"github_twitter":null,"stock_exchange":null,"stock_beta":null,"stock_range":null,"stock_is_actively_trading":null,"fmp_image":null,"fmp_address":null,"fmp_city":null,"fmp_state":null,"fmp_country":null,"recent_news":[{"title":"Shield AI’s V-BAT to support Polish naval operations - Shield AI","url":"https://news.google.com/rss/articles/CBMiekFVX3lxTE1yQWxVRGZXT05jc1pfaEdjNFNuUG5ZYWtBTDlIOEN3YjFqQzY4V21FVXBaWHI1T2dyQ3RseHhIV25KanNpR1lzVDdPdC05RFJHOUluU1RuYnpjSnhUR2VvWXJNM1luZ1FnbExKNm5pWDVqNmE1bTJPNVFB?oc=5","publisher":"Shield AI","date":"2026-06-23","snippet":"Shield AI’s V-BAT to support Polish naval operations Shield AI"},{"title":"AI, Defense and IPOs Drive Industrial Innovation - J.P. 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The successful candidate will provide deep technical leadership across AI enablement, responsible AI controls, observability, cost attribution, and reusable component strategy.</p>\n<h3>Responsibilities</h3>\n<h4>AI Platform Architecture &amp; Standards</h4>\n<ul>\n<li>Define and evolve enterprise AI architecture patterns for LLM integration, retrieval-augmented generation, agentic workflows, prompt orchestration, and workflow automation.</li>\n<li>Create reference architectures, design reviews, decision records, and implementation guidance that enable consistent AI development across business units.</li>\n<li>Serve as a technical authority for AI platform decisions, including model selection, integration approaches, data boundary enforcement, and lifecycle management.</li>\n<li>Evaluate emerging AI technologies and recommend fit-for-purpose adoption paths aligned to security, operational, and enterprise architecture requirements.</li>\n<li>Partner with product, platform, and business technology teams to identify common needs and convert them into reusable engineering patterns.</li>\n</ul>\n<h4>Reusable Components &amp; Shared Services</h4>\n<ul>\n<li>Design and build reusable AI components such as connectors, agents, skill templates, prompt libraries, data pipelines, integration adapters, and service APIs.</li>\n<li>Lead technical design for shared platform services for AI observability, logging, usage metering, evaluation, and lifecycle management.</li>\n<li>Establish quality, versioning, deprecation, documentation, and contribution standards for the shared AI component catalog.</li>\n<li>Guide teams through adoption of shared components, balancing standardization with practical implementation needs.</li>\n<li>Identify opportunities to eliminate duplicate AI engineering efforts through consolidation, abstractions, and platformization.</li>\n</ul>\n<h4>Responsible AI Engineering &amp; Governance</h4>\n<ul>\n<li>Architect engineering controls for access management, data classification enforcement, prompt safety, output validation, audit logging, and policy adherence.</li>\n<li>Partner with Security, Legal, and compliance stakeholders to embed responsible AI requirements into development and deployment pipelines.</li>\n<li>Design model and agent lifecycle governance patterns, including version tracking, evaluation, drift monitoring, rollback, and deprecation workflows.</li>\n<li>Build technical dashboards and telemetry that expose adoption, risk, performance, and governance compliance across AI-enabled systems.</li>\n<li>Represent engineering considerations in AI governance reviews and translate policy requirements into implementable technical standards.</li>\n</ul>\n<h4>Productivity, Measurement &amp; Technical Leadership</h4>\n<ul>\n<li>Develop AI-assisted workflow patterns that improve individual productivity, team collaboration, knowledge retrieval, meeting intelligence, document generation, and task automation.</li>\n<li>Design measurement approaches that connect AI usage to time savings, quality improvement, error reduction, capacity creation, and business value.</li>\n<li>Partner with Finance and platform teams to develop cost metering, showback/chargeback, and optimization mechanisms for AI services.</li>\n<li>Mentor senior and mid-level engineers, raise engineering quality, and lead complex cross-functional technical initiatives from concept through production.</li>\n<li>Contribute to communities of practice, internal enablement material, and technical evangelism for enterprise AI engineering standards.</li>\n</ul>\n<h3>Requirements</h3>\n<ul>\n<li>Progressive experience in enterprise software engineering, AI platform engineering, data platform engineering, or digital workplace technology roles.</li>\n<li>Deep hands-on understanding of generative AI, large language model integration, RAG architectures, agentic AI patterns, prompt orchestration, and production AI system design.</li>\n<li>Experience designing shared platform services, reusable component libraries, APIs, integration frameworks, or developer enablement platforms used by multiple teams.</li>\n<li>Strong architecture judgment across security, reliability, scalability, observability, maintainability, and operational cost tradeoffs.</li>\n<li>Experience implementing or contributing to AI governance controls such as access management, data classification, audit logging, model lifecycle management, and compliance-aware development practices.</li>\n<li>Ability to influence technical direction across matrixed teams through architecture reviews, written guidance, reference implementations, and hands-on collaboration.</li>\n<li>Experience defining metrics, telemetry, or attribution mechanisms for adoption, productivity, cost, quality, or operational performance.</li>\n<li>Strong written and verbal communication skills with the ability to explain complex AI engineering concepts to technical and non-technical audiences.</li>\n</ul>","enriched_at":1784938171908},{"id":"job_dc122e42-64e","title":"Facilities Technician","source_url":"https://jobs.lever.co/shieldai/dae12300-3947-40a7-b497-bbb189599cb3","location":null,"job_type":"full-time","experience_level":null,"work_arrangement":"onsite","category":"Operations","description":"<p>We&#39;re looking for a hands-on, reliable Facilities Technician to support the ongoing success of our test sites in the Bonham and Frisco areas.</p>\n<p>In this role, you&#39;ll be a key player in maintaining the functionality, safety, and efficiency of our facilities,ensuring our teams can operate at peak performance.</p>\n<p>This position is perfect for someone who thrives in a dynamic, fast-paced environment and takes pride in keeping things running smoothly.</p>\n<h3>Responsibilities:</h3>\n<ul>\n<li>Perform routine maintenance on facility equipment, including inspections and troubleshooting.</li>\n<li>Conduct repairs and replacements of defective or worn-out components.</li>\n<li>Maintain a clean and safe work environment by adhering to safety regulations and guidelines.</li>\n<li>Collaborate with facility staff to ensure smooth operations and address any maintenance-related concerns.</li>\n<li>Respond to emergency maintenance requests promptly and efficiently.</li>\n<li>Provide light facilities support (move chairs, set up banners, Conference room support).</li>\n<li>Drive to other locations for routine maintenance inspections using the company vehicle.</li>\n<li>Operate forklift, scissor lift, and pallet jack.</li>\n<li>Assist other roles as needed.</li>\n</ul>\n<h3>Requirements:</h3>\n<ul>\n<li>High school diploma or equivalent.</li>\n<li>Experience in warehouse maintenance or a related field.</li>\n<li>Physical ability to lift heavy objects (up to 49 lbs) and perform tasks that require bending, kneeling, and standing for extended periods.</li>\n<li>Must be able to pass a driver&#39;s license background check.</li>\n</ul>\n<h3>Preferred Qualifications:</h3>\n<ul>\n<li>Excellent problem-solving skills and attention to detail.</li>\n<li>Ability to work independently and as part of a team.</li>\n<li>Good communication skills and the ability to follow written and verbal instructions.</li>\n</ul>\n<h3>Additional Information:</h3>\n<ul>\n<li>Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity</li>\n<li>Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment)</li>\n</ul>","enriched_at":1784938052982},{"id":"job_a269e925-903","title":"Staff Engineer, HMS DevOps/DevEx (R5447)","source_url":"https://jobs.lever.co/shieldai/db5d644a-6d56-46fa-bb49-83b144af0acd","location":"Washington, DC","job_type":"full-time","experience_level":"staff","work_arrangement":"onsite","category":"Engineering","description":"<p>As an engineer on the HMS DevOps/DevEx Team, you will write the automation, configure the environments, and build the CI/CD pipelines that power the software development lifecycle across Hivemind Solutions.</p>\n<p>Your work is hands-on and focused on engineering maximum velocity, reproducibility, and security into our distributed developer tooling and cloud testing environments.</p>\n<p>You will completely automate tool workflows by writing scripts and API integrations connecting GitLab, Jira, and Confluence. You will configure and optimize C++, Python, and Node.js compilation pipelines, scale auto-running GitLab runner fleets, manage secure Artifactory container registries, deploy Forge in Azure Gov Cloud, and write custom HMS extensions to our pi-gov GenAI routing harness.</p>\n<h3>Responsibilities:</h3>\n<ul>\n<li>Write, configure, and maintain robust GitLab CI/CD pipelines and runner environments for C++, Python, and Node.js software projects, ensuring fast compilation and test execution.</li>\n<li>Build, test, and deploy automated tooling integrations, webhook dispatchers, and state-change scripts connecting GitLab, Jira, and Confluence to orchestrate release workflows.</li>\n<li>Write custom Python or Bash extensions for our pi-gov harness, configuring secure, audited LLM routing rules and local container configurations.</li>\n<li>Deploy, scale, and configure the Forge simulation and test orchestrator in Azure Gov Cloud, optimizing runner autoscaling and cloud compute consumption.</li>\n<li>Maintain, configure, and secure Artifactory package registries, implementing secure container builds via BuildKit, secret injection, and Entra ID integration.</li>\n<li>Partner with development teams to migrate legacy project build systems to reproducible Nix developer environments, writing default Nix derivations and flake configurations.</li>\n<li>Troubleshoot pipeline failures, broken builds, registry access issues, and system-level configuration drift across development environments.</li>\n</ul>\n<h3>Required qualifications:</h3>\n<ul>\n<li>Typically requires a Bachelor&#39;s degree in Computer Science, Computer Engineering, or related technical discipline, or equivalent practical experience.</li>\n<li>Practical experience building, maintaining, and scaling enterprise CI/CD systems, with deep expertise in GitLab CI/CD pipelines and runner infrastructure.</li>\n<li>Direct experience writing scripts (Bash, Python) and utilizing webhooks/APIs to automate and integrate engineering tools (such as Jira, Confluence, and GitLab).</li>\n<li>Hands-on experience with containerization (Docker, multi-stage builds) and package managers (such as Conan, Poetry, or Nix).</li>\n<li>Familiarity with deploying and managing application workloads in cloud environments (such as Azure Gov Cloud or AWS).</li>\n<li>Experience with secure software development practices, secret management, and identity providers (Active Directory, Entra ID).</li>\n<li>Solid Linux system administration, networking, and troubleshooting skills.</li>\n<li>Ability to obtain and maintain an active U.S. SECRET security clearance (U.S. citizenship required).</li>\n</ul>","enriched_at":1784938040281},{"id":"job_0f03442f-39b","title":"Senior Systems Engineer (R5443)","source_url":"https://jobs.lever.co/shieldai/e3ca5550-3f67-4c68-89c8-a437ac41cfda","location":"San Diego, California","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"IT","description":"<p>The Senior Systems Engineer is responsible for administering, supporting, optimizing, and continuously improving the enterprise IT infrastructure that supports Shield AI&#39;s business operations.</p>\n<p>This role involves designing, implementing, maintaining, and troubleshooting enterprise systems across cloud, endpoint, identity, server, and collaboration platforms while ensuring secure, reliable, and scalable services.</p>\n<p>Key responsibilities:</p>\n<ul>\n<li>Administer, maintain, and optimize enterprise Windows, Linux, and macOS systems supporting corporate business operations.</li>\n<li>Design, implement, configure, and support enterprise infrastructure including cloud services, identity management, endpoint management, collaboration platforms, and core IT systems.</li>\n<li>Analyze system performance, availability, and operational metrics to proactively improve reliability, scalability, and security.</li>\n<li>Administer Active Directory, Azure AD/Entra ID, Group Policy, authentication services, and role-based access controls.</li>\n<li>Deploy, maintain, and support endpoint management platforms including Microsoft Intune, JAMF, and related management technologies.</li>\n<li>Plan and execute infrastructure upgrades, migrations, patch management, and lifecycle replacement initiatives.</li>\n<li>Lead technical implementation of enterprise IT projects while coordinating with Infrastructure, Security, Networking, and business stakeholders.</li>\n<li>Troubleshoot complex infrastructure, operating system, cloud, and application issues using root cause analysis methodologies.</li>\n<li>Support LAN/WAN connectivity, DNS, DHCP, VPN, and network-related troubleshooting in partnership with networking teams.</li>\n<li>Develop automation using PowerShell, Bash, or similar scripting languages to improve operational efficiency and reduce manual administration.</li>\n<li>Maintain accurate system documentation, architecture diagrams, operational procedures, and knowledge base articles.</li>\n<li>Manage enterprise hardware and software assets throughout their lifecycle including procurement, deployment, maintenance, and decommissioning.</li>\n<li>Participate in incident response, change management, disaster recovery planning, and business continuity activities.</li>\n<li>Participate in an on-call rotation and perform scheduled maintenance outside normal business hours as required.</li>\n<li>Mentor junior administrators and provide technical guidance across the Enterprise IT organization.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Bachelor’s degree in information technology, Computer Science, or equivalent practical experience.</li>\n<li>5+ years of progressively responsible experience administering enterprise IT infrastructure and systems.</li>\n<li>Strong experience supporting Windows, Linux, and macOS operating systems within enterprise environments.</li>\n<li>Advanced knowledge of Microsoft Active Directory, Azure AD (Entra ID), Group Policy, DNS, DHCP, and identity management.</li>\n<li>Experience administering Microsoft 365 services including Exchange Online, Teams, SharePoint, and Intune.</li>\n<li>Experience managing endpoint platforms such as JAMF, Intune, or Microsoft Endpoint Manager.</li>\n<li>Working knowledge of networking fundamentals including TCP/IP, routing, VPN, DNS, firewalls, and network troubleshooting.</li>\n<li>Experience supporting enterprise cloud infrastructure and SaaS platforms.</li>\n<li>Strong troubleshooting, analytical, and root cause analysis skills across operating systems, infrastructure, and enterprise applications.</li>\n<li>Experience implementing system upgrades, migrations, and enterprise infrastructure projects.</li>\n<li>Experience with scripting and automation using PowerShell, Bash, or similar tools.</li>\n<li>Excellent written and verbal communication skills with the ability to work effectively across technical and non-technical teams.</li>\n<li>Ability to manage multiple priorities while maintaining high operational standards.</li>\n<li>Willingness to participate in an on-call rotation and support planned maintenance activities.</li>\n</ul>","enriched_at":1784937999634},{"id":"job_2db8978c-83a","title":"Discrete Planning Engineer","source_url":"https://jobs.lever.co/shieldai/041e8344-bf6c-4199-8568-4ccfbf5423ba","location":null,"job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Engineering","description":"<p>The Discrete Planning Group is part of the Autonomy Team for Hivemind Enterprise Product at Shield AI. As a Discrete Planning Engineer, you will work at the intersection of artificial intelligence, discrete optimization, and motion planning. Your responsibilities include:</p>\n<ul>\n<li>Researching, designing, and implementing state-of-the-art algorithms for optimal task allocation, scheduling, and temporal sequencing of heterogeneous teams of autonomous vehicles.</li>\n<li>Solidifying and improving existing C++ based mission planning software applicable across disparate vehicle types and compute platforms.</li>\n<li>Collaborating with engineers, program managers, and product managers to define a technical roadmap for future autonomy solutions and SDK offerings.</li>\n</ul>\n<p>You might work on projects such as:</p>\n<ul>\n<li>Breaking down a mission into assignable tasks based on agent capabilities.</li>\n<li>Constructing feasible and optimal action plans for distributed teams of autonomous vehicles.</li>\n<li>Full software and hardware-in-the-loop simulation of complex multi-agent missions.</li>\n</ul>\n<p>The role requires expertise in:</p>\n<ul>\n<li>Integer or Mixed Integer Linear Programming, Constraint Programming, Convex Optimization, and Multi-Objective Optimization.</li>\n<li>Using established solvers such as Gurobi, Google-OR, CPLEX, etc.</li>\n<li>Implementing algorithms in C++ and troubleshooting execution within a multi-threaded environment using debuggers like gdb.</li>\n</ul>\n<p>A PhD in Optimization or Operations Research is typically required, or a Master&#39;s degree with 4 or more years of relevant work experience.</p>\n<p>The salary compensation range is influenced by various factors, including skill set, level of experience, licenses and certifications, and specific work location.</p>","enriched_at":1784937974183},{"id":"job_0ad4d635-448","title":"Perception Software Engineer","source_url":"https://jobs.lever.co/shieldai/d2698861-180c-4645-8641-0e7725ce96f1","location":"San Diego, CA","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>This role is the primary interface between perception software and the flight test enterprise at Shield AI, a venture-backed defense-tech company. You will work with autonomy/perception software developers, flight test engineers, and platform integration teams to mature capabilities from algorithm to flight-verified system.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Coordinate software and hardware integration activities for autonomy team to deploy and test their stack across various platforms.</li>\n<li>Drive sensor selection for EO/IR and A-PNT perception software testing on operationally relevant or surrogate platforms.</li>\n<li>Own the fly-fix-fly cycle for autonomy and perception software: integrate the Hivemind Pilot stack onto target hardware, verify correct deployment and configuration, define test objectives for flight test campaigns, help execute tests in the field, and analyze collected data.</li>\n<li>Own sensor calibration and time synchronization processes for all A-PNT and perception sensors used in testing.</li>\n<li>Establish data quality standards and curate data management processes for field-collected sensor data.</li>\n<li>Resolve technical and logistical ambiguities at the boundary between software development and flight test operations.</li>\n</ul>\n<p>Required qualifications:</p>\n<ul>\n<li>Minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience.</li>\n<li>Hands-on experience calibrating and time-aligning EO/IR and position, navigation, and timing (PNT) sensors.</li>\n<li>Demonstrated ability to thrive in fast-paced field testing environments.</li>\n<li>Experience in design of experiments, flight test card development, and establishing verifiable, measurable test objectives.</li>\n<li>Experience deploying perception or autonomy software to edge hardware platforms.</li>\n<li>Proficiency in Python for data analysis and visualization; comfort reading and making targeted modifications to algorithms implemented in C++.</li>\n<li>Track record of solving problems that span hardware, software, and engineering capacity constraints across functional or organizational boundaries.</li>\n<li>Demonstrated academic training or professional experience in a core perception discipline such as object detection, object tracking, SLAM, or navigation.</li>\n</ul>\n<p>Preferred qualifications:</p>\n<ul>\n<li>Experience with camera calibration frameworks and camera-IMU extrinsic and temporal calibration workflows.</li>\n<li>Familiarity with rosbag-based data collection, replay, and analysis pipelines in robotics or autonomy systems.</li>\n<li>Experience characterizing EO/IR gimbal cameras.</li>\n<li>Background supporting DoD or defense aviation programs.</li>\n<li>Familiarity with Conan-based, Nix-based, or CMake-based build systems and embedded Linux development.</li>\n<li>Experience with CI/CD pipelines and test automation in the context of embedded software.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Pay within range listed + Bonus + Benefits + Equity (for full-time regular employees)</li>\n<li>Pay within range listed + temporary benefits package (for temporary employees)</li>\n</ul>\n<p>Location: Hybrid, based at Shield AI&#39;s San Diego, CA headquarters (three days per week in office), with periodic travel to flight test sites required.</p>","enriched_at":1784937960550},{"id":"job_0c4749da-f09","title":"Senior Engineer, AI Engineering (R5459)","source_url":"https://jobs.lever.co/shieldai/a32a2559-8aa2-4d18-ae61-41cbfbfb644a","location":null,"job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"<p>The Senior Engineer, AI Engineering is a hands-on individual contributor responsible for building and operating AI-enabled solutions, reusable components, integrations, automations, and measurement capabilities that accelerate enterprise AI adoption.</p>\n<p><strong>AI Solution Delivery &amp; Productivity Enablement</strong></p>\n<ul>\n<li>Build AI-assisted tools, workflow automations, agents, prompts, and integrations that reduce manual effort and improve individual and team productivity.</li>\n<li>Partner with business stakeholders to understand high-friction workflows, translate them into technical requirements, and deliver fit-for-purpose AI solutions.</li>\n<li>Implement AI-augmented collaboration patterns such as meeting intelligence, document generation, contextual knowledge retrieval, task automation, and internal assistant workflows.</li>\n<li>Develop and maintain internal enablement assets including prompt templates, agent examples, skill templates, playbooks, and usage guidance.</li>\n<li>Collect user feedback and operational telemetry to improve adoption, usability, reliability, and measured impact.</li>\n</ul>\n<p><strong>Reusable Components &amp; Integrations</strong></p>\n<ul>\n<li>Build and maintain reusable AI components including connectors, integration adapters, prompt modules, data pipelines, skill templates, and service wrappers.</li>\n<li>Contribute to shared component libraries using established quality, documentation, versioning, testing, and deprecation practices.</li>\n<li>Integrate AI capabilities with enterprise systems, collaboration tools, knowledge repositories, data platforms, and workflow automation platforms.</li>\n<li>Create developer-facing documentation, examples, and onboarding material that help other teams adopt shared AI components safely and efficiently.</li>\n<li>Identify repeatable patterns from project work and convert them into reusable assets for broader enterprise use.</li>\n</ul>\n<p><strong>Responsible AI Controls &amp; Operations</strong></p>\n<ul>\n<li>Implement engineering controls for data handling, access management, prompt safety, output validation, audit logging, and secure integration patterns.</li>\n<li>Follow enterprise AI architecture and governance standards while escalating gaps, risks, or implementation challenges to technical leads.</li>\n<li>Build or maintain dashboards for AI usage, adoption, policy adherence, cost visibility, error patterns, and operational health.</li>\n<li>Support model, prompt, and agent lifecycle activities such as evaluation, version tracking, testing, rollout, monitoring, and rollback.</li>\n<li>Participate in security, privacy, and governance reviews by providing implementation details, evidence, and remediation support.</li>\n</ul>\n<p><strong>Cost, ROI &amp; Cross-Functional Execution</strong></p>\n<ul>\n<li>Instrument AI solutions to capture usage, performance, cost, quality, and productivity metrics.</li>\n<li>Support cost optimization work through usage analysis, model efficiency improvements, license rationalization inputs, and service tuning.</li>\n<li>Help connect AI solution usage to measurable outcomes such as time savings, error reduction, throughput improvement, and capacity creation.</li>\n<li>Collaborate with Engineering, IT, Security, Legal, Data, Finance, and business unit teams to deliver reliable AI capabilities in a matrixed environment.</li>\n<li>Contribute to AI communities of practice by sharing lessons learned, reusable patterns, demos, and implementation guidance.</li>\n</ul>","enriched_at":1784937941826},{"id":"job_3e39c724-856","title":"Senior Engineer, AI Engineering (R5450)","source_url":"https://jobs.lever.co/shieldai/573fb642-d158-44dc-9310-3c293eb2eedc","location":null,"job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"<p>The Senior Engineer, AI Engineering is a hands-on individual contributor responsible for building and operating AI-enabled solutions, reusable components, integrations, automations, and measurement capabilities that accelerate enterprise AI adoption.</p>\n<h3>Responsibilities:</h3>\n<h4>AI Solution Delivery &amp; Productivity Enablement</h4>\n<ul>\n<li>Build AI-assisted tools, workflow automations, agents, prompts, and integrations that reduce manual effort and improve individual and team productivity.</li>\n<li>Partner with business stakeholders to understand high-friction workflows, translate them into technical requirements, and deliver fit-for-purpose AI solutions.</li>\n<li>Implement AI-augmented collaboration patterns such as meeting intelligence, document generation, contextual knowledge retrieval, task automation, and internal assistant workflows.</li>\n<li>Develop and maintain internal enablement assets including prompt templates, agent examples, skill templates, playbooks, and usage guidance.</li>\n<li>Collect user feedback and operational telemetry to improve adoption, usability, reliability, and measured impact.</li>\n</ul>\n<h4>Reusable Components &amp; Integrations</h4>\n<ul>\n<li>Build and maintain reusable AI components including connectors, integration adapters, prompt modules, data pipelines, skill templates, and service wrappers.</li>\n<li>Contribute to shared component libraries using established quality, documentation, versioning, testing, and deprecation practices.</li>\n<li>Integrate AI capabilities with enterprise systems, collaboration tools, knowledge repositories, data platforms, and workflow automation platforms.</li>\n<li>Create developer-facing documentation, examples, and onboarding material that help other teams adopt shared AI components safely and efficiently.</li>\n<li>Identify repeatable patterns from project work and convert them into reusable assets for broader enterprise use.</li>\n</ul>\n<h4>Responsible AI Controls &amp; Operations</h4>\n<ul>\n<li>Implement engineering controls for data handling, access management, prompt safety, output validation, audit logging, and secure integration patterns.</li>\n<li>Follow enterprise AI architecture and governance standards while escalating gaps, risks, or implementation challenges to technical leads.</li>\n<li>Build or maintain dashboards for AI usage, adoption, policy adherence, cost visibility, error patterns, and operational health.</li>\n<li>Support model, prompt, and agent lifecycle activities such as evaluation, version tracking, testing, rollout, monitoring, and rollback.</li>\n<li>Participate in security, privacy, and governance reviews by providing implementation details, evidence, and remediation support.</li>\n</ul>\n<h4>Cost, ROI &amp; Cross-Functional Execution</h4>\n<ul>\n<li>Instrument AI solutions to capture usage, performance, cost, quality, and productivity metrics.</li>\n<li>Support cost optimization work through usage analysis, model efficiency improvements, license rationalization inputs, and service tuning.</li>\n<li>Help connect AI solution usage to measurable outcomes such as time savings, error reduction, throughput improvement, and capacity creation.</li>\n<li>Collaborate with Engineering, IT, Security, Legal, Data, Finance, and business unit teams to deliver reliable AI capabilities in a matrixed environment.</li>\n<li>Contribute to AI communities of practice by sharing lessons learned, reusable patterns, demos, and implementation guidance.</li>\n</ul>\n<h3>Requirements:</h3>\n<ul>\n<li>Progressive experience building enterprise software, automation, data, AI, or digital workplace solutions.</li>\n<li>Hands-on experience integrating large language models, generative AI tools, APIs, RAG systems, agents, prompt workflows, or AI-assisted automation into production or enterprise environments.</li>\n<li>Strong software engineering fundamentals including API design, testing, observability, documentation, secure coding practices, and maintainable implementation patterns.</li>\n<li>Experience building integrations with enterprise systems, collaboration platforms, knowledge repositories, data platforms, or workflow automation tools.</li>\n<li>Working knowledge of AI governance concepts such as access controls, data classification, audit logging, prompt safety, output validation, and model/prompt versioning.</li>\n<li>Ability to convert ambiguous business workflows into practical technical solutions in partnership with stakeholders.</li>\n<li>Experience instrumenting systems with telemetry, logging, dashboards, usage metrics, or cost/performance monitoring.</li>\n<li>Clear communication skills and a collaborative style suitable for working across business, engineering, security, legal, and data teams.</li>\n</ul>\n<h3>Preferred Qualifications:</h3>\n<ul>\n<li>Experience in regulated, security-sensitive, defense-adjacent, or data-governed environments.</li>\n<li>Familiarity with enterprise AI tooling ecosystems including copilot platforms, workflow automation suites, RAG platforms, vector databases, and enterprise search.</li>\n<li>Experience with MLOps, model evaluation, AI observability, prompt/agent testing, or production monitoring.</li>\n<li>Hands-on experience with data platforms such as Databricks, Snowflake, lakehouse architectures, or equivalent data infrastructure.</li>\n<li>Experience developing usage dashboards, cost reporting, showback inputs, or ROI measurement for shared technology services.</li>\n<li>Experience contributing to reusable component libraries, internal developer platforms, templates, or enablement playbooks.</li>\n<li>Degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent practical experience.</li>\n</ul>","enriched_at":1784937915087},{"id":"job_8d2df4be-f02","title":"Mechanical Engineer I, Systems Integration (R5344)","source_url":"https://jobs.lever.co/shieldai/6df24cd9-5111-4e63-a88a-d76166677000","location":null,"job_type":"full-time","experience_level":"entry","work_arrangement":"onsite","category":"Engineering","description":"<p>As a Systems Integration Engineer at Shield AI, you will own the design, integration, and installation of aircraft systems and components under the guidance of senior engineers.</p>\n<p>You will contribute to mechanical part design, installation layouts, drawing creation, and hardware integration activities while developing a strong foundation in aircraft design, manufacturing, and multidisciplinary engineering.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design mechanical components, brackets, sheet metal parts, and assemblies.</li>\n<li>Assist in developing aircraft installation layouts and subsystem packaging.</li>\n<li>Design routing paths for EWIS, hydraulic, fuel, pneumatic, and ECS systems while coordinating interfaces with adjacent aircraft structures and subsystems.</li>\n<li>Create engineering drawings and documentation.</li>\n<li>Support CAD modeling and product structure development.</li>\n<li>Assist with prototype builds and aircraft integration activities.</li>\n<li>Support manufacturing and assembly issue resolution.</li>\n<li>Participate in design reviews.</li>\n<li>Apply GD&amp;T and tolerance stack-up analyses to ensure manufacturable and interchangeable designs.</li>\n<li>Collaborate with cross-functional teams to integrate avionics and other system components seamlessly within the aircraft.</li>\n</ul>\n<p>Required qualifications:</p>\n<ul>\n<li>Bachelor&#39;s or Master&#39;s degree in Mechanical Engineering or related discipline.</li>\n<li>0-2 years of professional experience designing and integrating mechanical systems for aircraft, aerospace, defense, robotics, automotive, or other complex electromechanical products.</li>\n<li>Demonstrated proficiency creating 3D CAD models, assemblies, and engineering drawings using NX, CATIA, SolidWorks, Creo, or a comparable CAD platform.</li>\n<li>Understanding of mechanical design fundamentals, including machine design, material selection, fastening methods, and basic structural design principles.</li>\n<li>Familiarity with designing machined, fabricated, and sheet metal components suitable for manufacturing and assembly.</li>\n<li>Basic understanding of engineering drawings, drawing standards, and GD&amp;T in accordance with ASME Y14.5.</li>\n<li>Familiarity with Design for Manufacturability (DFM) and Design for Assembly (DFA) principles.</li>\n<li>Basic understanding of aircraft or complex mechanical subsystem installation concepts, including equipment mounting, packaging, accessibility, and maintainability.</li>\n<li>Familiarity with mechanical and electrical routing concepts for electrical wiring, hydraulic tubing, pneumatic tubing, or similar mechanical systems.</li>\n<li>Ability to read and interpret engineering drawings, assembly documentation, and Bills of Material (BOMs).</li>\n<li>Strong analytical and problem-solving skills with the ability to apply engineering fundamentals to practical design challenges.</li>\n<li>Strong written and verbal communication skills with the ability to work effectively on multidisciplinary engineering teams.</li>\n</ul>\n<p>Preferred qualifications:</p>\n<ul>\n<li>Internship or co-op experience supporting aircraft, aerospace, defense, robotics, automotive, or other complex electromechanical products.</li>\n<li>Hands-on experience developing mechanical components, assemblies, or installation hardware for student projects, Formula SAE, Baja SAE, Design Build Fly, or similar engineering projects.</li>\n<li>Experience using PLM systems such as Teamcenter, Windchill, or 3DEXPERIENCE.</li>\n<li>Familiarity with aircraft installation drawings, assembly drawings, or manufacturing documentation.</li>\n<li>Exposure to prototype builds, manufacturing support, or hardware integration activities.</li>\n<li>Experience performing basic engineering calculations, tolerance analyses, or structural hand calculations.</li>\n<li>Experience using FEA tools such as NASTRAN, ANSYS, Siemens Simcenter, Abaqus, orCreo Simulate for basic static or modal analyses.</li>\n<li>Familiarity with aerospace standards, military specifications, or FAA design practices.</li>\n<li>Experience collaborating within multidisciplinary engineering teams using formal engineering change or configuration management processes.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Pay within range listed + Bonus + Benefits + Equity (for full-time regular employees)</li>\n<li>Pay within range listed above + temporary benefits package (applicable after 60 days of employment) (for temporary employees)</li>\n</ul>","enriched_at":1784937884990}],"category_normalised":[{"category":"engineering","count":313},{"category":"operations","count":29},{"category":"sales","count":23},{"category":"manufacturing","count":15},{"category":"finance","count":14},{"category":"it","count":8},{"category":"marketing","count":4},{"category":"hr","count":4},{"category":"legal","count":3},{"category":"design","count":2}],"velocity":{"weeks":[{"week_start":"2026-04-13","count":121},{"week_start":"2026-04-20","count":15},{"week_start":"2026-05-04","count":3},{"week_start":"2026-05-11","count":13},{"week_start":"2026-05-18","count":27},{"week_start":"2026-05-25","count":23},{"week_start":"2026-06-01","count":25},{"week_start":"2026-06-08","count":12},{"week_start":"2026-06-15","count":56},{"week_start":"2026-06-22","count":13},{"week_start":"2026-06-29","count":10},{"week_start":"2026-07-06","count":37},{"week_start":"2026-07-13","count":20},{"week_start":"2026-07-20","count":40},{"week_start":"2026-07-27","count":1}],"trend":"stable","wow_pct":-97},"momentum":{"recent_14d":59,"prior_14d":46,"growth_pct":28,"classification":"accelerating"},"salary_vs_industry":{"company_median":150000,"industry_median":null,"percentile":null,"sample_size":179,"by_region":[{"region":"United 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East","count":5,"share_pct":1.6},{"region":"United Kingdom","count":5,"share_pct":1.6},{"region":"Remote","count":1,"share_pct":0.3},{"region":"India","count":1,"share_pct":0.3}],"emerging":[{"region":"Australia/NZ","recent_30d":7,"prior_30d":4,"growth_pct":75},{"region":"EU","recent_30d":3,"prior_30d":2,"growth_pct":50}],"shrinking":[]},"seniority_anomalies":{"exec_recent_30d":6,"exec_prior_90d_avg":5,"exec_growth_pct":20,"notable_exec_hires":[{"title":"Director, Engineering Excellence & Enablement (R5467)","location":"Washington, DC","posted_at":"2026-07-22"},{"title":"Director of SOX Compliance","location":null,"posted_at":"2026-07-21"},{"title":"Director of Business Value from Enterprise AI (R5463)","location":null,"posted_at":"2026-07-20"},{"title":"Director of AI Operations & Governance","location":null,"posted_at":"2026-07-20"},{"title":"Director of People Operations","location":null,"posted_at":"2026-07-17"}]},"posting_dynamics":{"median_days_open":35,"industry_median_days_open":null,"long_open_count":140,"closure_rate_pct":26}}}}