Top Artificial Intelligence Jobs

Leads digital twin and MBSE transformation initiatives for defense, space, and intelligence customers. Designs digital twin architectures, develops digital engineering strategies, applies simulation and AI-enhanced predictive capabilities, supports proposals and pilot implementations, and mentors technical staff. The role requires collaboration with business development, program teams, senior leaders, and customers to demonstrate operational value across satellite, ground, and mission systems.

Develops high-quality oral presentation slide decks for large FEDSIM federal proposals. Translates technical and strategic content into compelling visuals aligned with solicitation requirements, win themes, differentiators, proof points, and partner roles. Leads collaboration among capture managers, solution architects, proposal teams, writers, and graphics staff; maintains slide-development processes; applies Agile sprint methods; and supports proposal reviews, production, and evaluator responses. The role is primarily remote but requires onsite work in Herndon, Virginia, during critical proposal periods.

Supports USCYBERCOM and CNMF cyber and information operations by developing plans, orders, intelligence requirements, and operational assessments. Integrates cyber capabilities into mission planning, coordinates requirements for Cyber Mission Force teams, evaluates current and emerging threats, monitors doctrine and policy, and supports training and exercises. Requires six years of intelligence analysis experience with cyber or SIGINT support, U.S. citizenship, and an active TS/SCI clearance.

Leads Peraton’s government relations strategy as a senior advisor to executive leadership. Monitors federal policy, budgets, acquisitions, technology priorities, and political developments; translates them into strategic recommendations; builds senior government and industry relationships; mentors the Washington Operations team; guides legislative, lobbying, PAC, and Hill engagement; and aligns government affairs with corporate growth and technology priorities.

Develop cloud software and AI/ML capabilities on AWS and large-scale compute clusters. Responsibilities include requirements analysis, Java software development, RESTful services, distributed systems, cloud integration, infrastructure as code, containerization, testing, sustainment, and issue resolution. The role requires experience with Hadoop and big-data technologies, Linux, software integration, technical documentation, and secure solutions supporting national security missions.

Design, develop, and test software solutions supporting cybersecurity, satellite ground systems, information management, cloud computing, and AI/ML missions. Collaborate in an Agile environment and contribute across requirements, architecture, design, development, and unit testing. The two-year Ignite Innovators program provides technical leadership development and hands-on national security experience, with potential transition to Peraton mission programs.

Leads multidisciplinary systems engineering for complex GEOINT and national security environments. Responsibilities include requirements engineering, architecture traceability, systems integration, cloud capability assessment, reliability and resiliency planning, trade studies, technical strategy, risk management, and solutions development. Oversees systems engineers and advises government stakeholders across NGA, NSG, ASG, and federal agencies. The role is fully onsite in Springfield, Virginia and requires extensive systems engineering experience with TS/SCI eligibility.

Leads modeling, simulation, and analysis initiatives supporting NGA and GEOINT missions. Develops models, algorithms, and analytical tools; evaluates system architectures and performance across cloud, on-premises, and hybrid environments; conducts trade studies and alternatives analyses; and delivers deployment recommendations for mission modernization. Provides senior technical leadership, collaborates with engineering and mission stakeholders, and mentors junior engineers.

Develop and sustain cloud software supporting cyber intelligence and AI/ML capabilities on large-scale compute clusters and AWS infrastructure. Responsibilities include requirements analysis, software development, integration, testing, validation, deployment, enhancement, maintenance, and issue resolution. The role involves distributed NoSQL systems, big-data technologies, cloud scalability, AI/ML algorithms, LLMs, RAG, agentic workflows, and software testing within a mission-driven national security environment.

Develop machine learning, statistical, data mining, graph-based, and heuristic algorithms for national security applications. Build and optimize AI/ML and large language models, including information retrieval workflows. Analyze varied datasets, create feature vectors, design experiments, evaluate models using standard metrics, produce visualizations, and translate subject matter expertise into production analytics. Guide analytic development efforts and integrate prototype algorithms into analyst workflows.

Develops cybersecurity-focused software and research capabilities for government, utility, and commercial customers. Work may involve program analysis, vulnerability identification and remediation, malware analysis, reverse engineering, resilient networking, software-defined networking, cyber defense, deception, and AI or machine learning. The role requires expertise in a modern programming language, operating-system internals, networking, development toolchains, and secure systems, with opportunities for technical leadership and advanced cyber research.

Provides expert technical leadership for complex GEOINT systems and systems-of-systems environments. Translates mission needs into requirements, architectures, and technical solutions; supports integration, testing, reliability, resiliency, scheduling, and technical analysis. Leads alternatives analyses, trade studies, engineering assessments, and strategic technical planning across government and industry programs. Advises Government leadership, coordinates multidisciplinary engineering teams, and oversees systems engineers supporting NSG, ASG, NRO, and Federal Agency capabilities.

Develops and maintains human capital data strategies, analytics, dashboards, and data science tools for U.S. Transportation Command. Applies predictive analytics, machine learning, and AI to workforce planning, recruitment, professional development, retention, and decision support. Builds analysis-ready data foundations, analyzes trends, maps data across secure and non-classified defense networks, improves existing tools, and collaborates with users, subject matter experts, and leadership. Requires Palantir Foundry experience, U.S. citizenship, and an active DoD Secret clearance.

Supports Intelligence Community customers by developing systems engineering approaches, requirements, plans, interface control documents, verification methods, and technology transition processes. Leads stakeholder decision meetings, elicits technical requirements, monitors engineering artifacts, and supports projects from requirements definition through deployment. Work is performed onsite at a customer location and requires an active TS/SCI clearance with polygraph.

Leads and supports systems engineering across complex national and allied geospatial-intelligence systems. Responsibilities include requirements engineering, architecture traceability, systems integration, cloud and service analysis, trade studies, risk management, technical planning, and acquisition support. The role advises government stakeholders, coordinates multidisciplinary engineering teams, and integrates major system acquisitions across organizational boundaries. Requires extensive systems engineering experience, advanced technical education, and TS/SCI clearance eligibility with polygraph.

Designs, develops, configures, and integrates cybersecurity requirements into information systems and technology products. Leads security architecture, system design, technology research, alternative analysis, development lifecycle activities, roadmaps, and investment planning. Oversees cybersecurity engineers across experience levels and supports enterprise cybersecurity solutions spanning cloud and on-premises environments, including automation, augmentation, and artificial intelligence technologies.

Leads end-to-end capture strategy for high-value Federal Civilian pursuits, including opportunity qualification, solution development, teaming, pricing, proposal execution, governance reviews, and post-submission activities. Builds customer and partner relationships, translates mission needs into differentiated offerings, manages capture teams and budgets, negotiates teaming agreements, and drives winning strategies for pursuits valued at $100M or more.

Leads structured analysis of technical, operational, and programmatic information using AI-enabled tools and quantitative reasoning. Validates AI-generated outputs, assesses evidence, and translates findings into executive briefings, dashboards, reports, narratives, and talking points. Designs visualization strategies for varied stakeholder audiences and collaborates with leadership, data teams, AI/ML teams, and subject matter experts. Maintains editorial rigor, analytical clarity, and strategic judgment in high-visibility government and technical environments.

Develops machine learning, statistical, data mining, graph-based, and large language models for national security applications. Analyzes datasets, creates feature vectors, prototypes and validates algorithms, builds experiments, generates visualizations, and implements analytics in production frameworks. The role collaborates with subject matter experts, optimizes GPU-based model training, supports LLM and RAG solutions, and guides analytic development efforts. An active TS/SCI clearance with polygraph is required.

Develop and operationalize machine learning, statistical, graph-based, and AI analytics for national security missions. Responsibilities include applied research, experimentation, data visualization, feature engineering, model development and validation, LLM and NLP optimization, GPU-accelerated computing, automation, production integration, and customer collaboration. The role also guides analytic efforts and translates complex data into actionable insights.

Leads clinical outcomes research, collaborating with surgeons on observational studies, registry analyses, comparative effectiveness, and real-world evidence. Provides methodological leadership, develops reproducible analytics workflows, ensures regulatory compliance, mentors trainees, publishes findings, and prepares external grant applications. Requires expertise in clinical research, causal inference, biostatistics, programming, bioinformatics, large clinical databases, scientific writing, and clinician collaboration.

Owns Navitus’s enterprise AI governance and enablement program, including governance frameworks, risk assessments, compliance monitoring, use-case inventory, vendor AI evaluations, reporting, and committee operations. Partners with Legal, Compliance, Privacy, Security, IT, Engineering, and Learning Services to support responsible AI adoption. Leads proof-of-concept initiatives, develops policies and training strategies, tracks regulatory developments, mentors others, and presents governance insights and recommendations to leadership.

Designs and governs enterprise AI architecture, including generative AI, agentic workflows, RAG, orchestration, integrations, governance, security, compliance, and AI operations. Establishes scalable reference architectures, platform strategies, responsible AI guardrails, lifecycle management, monitoring, and cost controls. Partners with enterprise architecture, engineering, data, and product teams to drive secure AI adoption across cloud services, APIs, and enterprise platforms.

Lead end-to-end delivery of AI initiatives from discovery and prioritization through production launch and post-launch evaluation. Establish delivery standards, manage plans, risks, dependencies, budgets, and trade-offs, and coordinate business, data science, engineering, infrastructure, architecture, and security teams. Define success metrics, assess AI feasibility, communicate with technical and executive stakeholders, monitor outcomes, and guide iteration. Lead and coach AI delivery resources while improving predictability and execution quality.

Leads development, integration, validation, site transfer, and optimization of laser-based and optical tissue manufacturing processes for structural heart valves. Defines system architectures and specifications, manages technical workstreams and suppliers, troubleshoots equipment, executes experiments and process characterization, and supports regulatory-compliant qualification and production ramp-up. Mentors engineers and technicians while advancing laser safety, automation, yield, throughput, and quality across global manufacturing sites.