Top Artificial Intelligence Jobs

Defines and evolves enterprise data architecture supporting analytics, reporting, governance, integration, and AI capabilities. Designs scalable Lakehouse and Medallion architectures, data models, contracts, APIs, and event-driven integrations. Establishes governance standards and trusted data products while aligning platform investments with business and regulatory needs. Leads modernization initiatives, develops data strategy and roadmaps, supports KPI frameworks, mentors technical talent, and guides distributed engineering teams.

Leads BNY Wealth Select, a national fiduciary business, with accountability for strategy, growth, profitability, fiduciary and investment decision-making, risk management, client and advisor experience, operational excellence, and organizational leadership. Partners with regional market leaders to improve execution, scalability, and business performance while advancing innovation, digital enablement, and AI adoption across the wealth platform.

Oversee quality assurance, testing, evaluation, verification, and validation of AI systems supporting military intelligence missions. Develop and assess machine learning and data mining algorithms, analyze complex data, evaluate system performance, robustness, and fairness, and implement corrective actions and maintenance schedules. Collaborate with statisticians, mathematicians, users, and stakeholders to support predictive analysis, intelligence discovery, and reliable decision-making environments.

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, enhancement, installation, monitoring, maintenance, and issue resolution. The role involves distributed NoSQL systems, cloud scalability, machine learning, large language models, RAG, agentic workflows, and software engineering in a mission-driven national security environment.

Designs, develops, tests, deploys, monitors, and improves machine learning algorithms and production models for business and national security missions. Integrates data pipelines, evaluates model performance, ensures data and output quality, and transforms prototypes into scalable solutions. Requires expertise in machine learning frameworks, statistical analysis, model architecture, software and data engineering principles, and verification and validation. May lead distributed teams and serve as a technical point of contact.

Develop and sustain cloud software and AI/ML capabilities for national security applications. Responsibilities include requirements analysis, Java-based distributed software development, AWS cloud integration, RESTful services, testing, deployment, troubleshooting, and technical documentation. The role works with Hadoop and big-data technologies, Linux, Kubernetes, infrastructure as code, CI/CD, LLMs, RAG, and agentic AI. An active TS/SCI clearance with polygraph and at least five years of software engineering experience are required.

Designs, implements, and refines enterprise cybersecurity services and architectures across cloud and on-premises environments. Provides cybersecurity engineering support, researches security products, conducts analyses of alternatives, translates requirements into secure system designs, and develops security architectures, roadmaps, and investment strategies. Advises programs on Zero Trust compliance, identity management, cloud security, cross-domain technologies, secure data access, audit integrity, and system modernization.

Develop machine learning, statistical, data-mining, graph-based, and heuristic algorithms for national security datasets. Build, optimize, and validate AI/ML and large language models; create feature vectors, experiments, simulations, visualizations, and automated analytics; and integrate prototypes into production analyst workflows. Collaborate with subject matter experts, evaluate models using statistical metrics, and guide analytic development efforts. The role requires an active TS/SCI clearance with polygraph.

Designs, develops, deploys, and maintains AWS cloud-native applications and infrastructure. Builds CI/CD pipelines, Infrastructure as Code solutions, and containerized deployments using Terraform or CloudFormation, Kubernetes, and Docker. Supports integration, testing, monitoring, troubleshooting, observability, performance optimization, scalability, security, and operational sustainment for mission-critical systems. Collaborates with software, systems, and cloud engineering teams in Agile environments.

Leads the strategy, roadmap, delivery, compliance, and continuous improvement of cloud-based products supporting a federal financial aid mission. Manages requirements and backlogs, cloud lifecycle activities, security and accessibility compliance, performance KPIs, cost optimization, stakeholder engagement, vendor coordination, Agile ceremonies, and organizational adoption. Leads multidisciplinary teams across cloud engineering, cybersecurity, UX, data, and operations while aligning products with federal governance, FedRAMP, FISMA, Zero Trust, and enterprise architecture standards.

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.