Top Artificial Intelligence Jobs

Develop and maintain production-scale AI/ML systems and infrastructure supporting Navy and DoD cyber defense, situational awareness, mission assurance, and command-and-control capabilities. Responsibilities include software design, coding, testing, debugging, deployment, ML model monitoring, data engineering, application lifecycle support, security architecture reviews, documentation, and agile team participation.

Leads enterprise software architecture, technical strategy, and roadmap execution across multiple domains. Designs scalable, reliable systems and platforms using modern programming languages, cloud services, microservices, databases, containers, and DevOps practices. Partners with product and engineering teams, mentors technical staff, influences executives, improves engineering processes, evaluates performance and costs, and drives continuous learning. The role requires extensive software development and architecture experience, strong cloud and Azure expertise, and the ability to transfer research into production.

Maintains and optimizes Oracle, SQL Server, and Sybase databases across large-scale compute and AWS environments. Responsibilities include database security, availability, disaster recovery, performance tuning, index maintenance, monitoring, user administration, data modeling, lifecycle management, database architecture coordination, and installation of database systems, tables, and views. Requires an active TS/SCI clearance with polygraph, 10 years of DBA experience, and a technical bachelor's degree or equivalent experience.

Design, develop, test, deploy, and improve AI/ML algorithms and models for complex mission requirements. Responsibilities include selecting datasets, performing statistical analysis, integrating data pipelines, training and retraining models, monitoring performance, conducting testing and evaluation, and overseeing system integration. The role requires knowledge of application development, infrastructure, data engineering, governance, ML libraries, and performance metrics, with potential leadership of distributed teams.

Develop and sustain cloud software and distributed systems supporting cyber intelligence and AI/ML capabilities. Responsibilities include requirements analysis, Java software development, cloud deployment, integration, testing, RESTful services, analytics, Hadoop ecosystems, Linux systems, and technical documentation. The role requires AWS expertise, Kubernetes, infrastructure as code, CI/CD, microservices, large-scale data processing, and active TS/SCI clearance with polygraph.

Designs, develops, tests, deploys, and improves machine learning models and algorithms for business and national security mission requirements. Responsibilities include selecting datasets, performing statistical analysis, integrating data pipelines, training and monitoring models, interpreting performance metrics, conducting testing and evaluation, and supporting scalable AI/ML solutions. The role may coordinate distributed teams and requires strong communication, analytical, and problem-solving skills.

Manage, monitor, troubleshoot, and maintain large-scale Hadoop clusters and AWS cloud infrastructure supporting cyber intelligence and AI/ML capabilities. Configure Linux systems, networking, provisioning, hardware, security tools, and configuration management platforms. Develop Bash, Perl, or Python scripts; diagnose distributed storage systems; support Kubernetes, Docker, load balancing, and observability tools. Collaborate across mission teams, lead complex technical tasks, and mentor junior resources.

Administers Oracle, SQL Server, and Sybase databases supporting cloud-based AI/ML and national security systems. Responsibilities include database security, integrity and availability; user account management; disaster recovery; performance analysis and tuning; index maintenance; monitoring; data modeling; policy development; DBMS evaluation; server administration; and database lifecycle activities. The role requires an active TS/SCI clearance with polygraph and five years of comparable DBA experience.

Designs, develops, tests, deploys, monitors, and continuously improves machine learning models for complex business and national security missions. Integrates data pipelines, evaluates model performance, ensures data and output quality, and transforms prototypes into scalable production solutions. Requires strong expertise in machine learning algorithms, software architecture, data engineering, model validation, and system integration. The role may lead distributed teams and requires an active TS/SCI clearance with polygraph.

Performs security assessments and engineering for AI/ML systems, large-scale compute clusters, AWS Cloud infrastructure, networks, and enclave environments. Designs and integrates information assurance architectures, identifies and mitigates security risks, validates security requirements, supports certification and accreditation, and enforces trusted relationships and government security policies. Collaborates with engineering teams and government customers on secure system development and operational deployment.

Designs and leads user experience solutions for AI/ML and cyber intelligence systems. Responsibilities include user research, requirements gathering, interaction design, visual design, storyboards, prototypes, interface guidelines, customer presentations, and collaboration with product owners, developers, stakeholders, and engineering teams. The role supports agile product development in AWS cloud environments and requires an active TS/SCI clearance with polygraph.

Develop and sustain cloud software supporting cyber intelligence and AI/ML capabilities on AWS and large-scale compute clusters. Responsibilities include requirements analysis, Java software development, cloud integration, testing, troubleshooting, RESTful services, distributed systems, big-data technologies, Linux development, and technical documentation. The role also involves LLM, RAG, agentic AI, Kubernetes, infrastructure-as-code, CI/CD, and cloud security practices. An active TS/SCI clearance with polygraph is required.

Administers, monitors, troubleshoots, and maintains large-scale Hadoop and AWS cloud clusters supporting AI/ML and national security missions. Responsibilities include Linux systems administration, scripting, distributed storage troubleshooting, network provisioning, configuration management, hardware diagnostics, security compliance, and cloud infrastructure development. The role requires expertise with AWS, Linux, Puppet, Salt, Kubernetes, Docker, distributed databases, provisioning systems, and remote troubleshooting utilities, along with an active TS/SCI clearance with polygraph.

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, maintenance, monitoring, and issue resolution. The role uses distributed NoSQL technologies, big-data frameworks, cloud services, AI/ML algorithms, LLMs, RAG, and agentic workflows to support national security missions.

Lead development of an AI assistant and MCP server for a DoD RF spectrum monitoring application. Design tool interfaces, deploy local models in air-gapped environments, integrate LLM functionality across FastAPI, React, and PostgreSQL systems, and develop prompts, evaluation frameworks, and context strategies. Collaborate with engineering and domain stakeholders to identify use cases, improve assistant reliability, document architecture, and support Python and TypeScript/Node.js services.

Develop and maintain cloud software supporting AI/ML and national security missions. Responsibilities include requirements analysis, software development, AWS cloud integration, distributed systems engineering, microservices, testing, troubleshooting, and sustainment. The role uses Java, Linux, Kubernetes, infrastructure-as-code, CI/CD, big-data technologies, RESTful services, and AI/ML frameworks including LLMs and RAG. An active TS/SCI clearance with polygraph is required.

Designs AI/ML data-fusion and sense-making solutions for intelligence and space missions. Develops architectures, testing and validation frameworks, responsible AI practices, adoption roadmaps, and mission applications across diverse data modalities. Collaborates with business development and program teams, mentors technical staff, and communicates AI capabilities and limitations to leadership and customers. Requires defense or intelligence experience, Secret clearance with ability to obtain TS/SCI, and full-time onsite work.

Develops and leads systems engineering activities for cyber intelligence and AI/ML capabilities hosted on large-scale compute clusters and AWS Cloud. Responsibilities include requirements analysis, system architecture and design, interface definition, technical documentation, risk and configuration management, systems integration and testing, verification planning, and security and accreditation support. The role provides technical leadership across integrated product teams and coordinates with government stakeholders to ensure system technical integrity.

Supports USTRANSCOM’s Joint Deployment and Distribution Enterprise through operations research, data analysis, modeling, simulation, optimization, tool development, and regression testing. Uses Maven Smart System, Palantir Foundry, Python, R, and AI tools to automate testing and validate code changes. Develops analytical models, documents findings, supports prototype integration, and provides quantitative decision support for military movement and sustainment processes.

Conduct applied AI/ML and optimization research for modeling, simulation, and analysis applications. Develop surrogate models, software prototypes, and deployable analytics using Python, C/C++, and ML frameworks. Collaborate with research teams to translate customer needs into technical solutions, evaluate performance, and communicate findings through documentation, presentations, proposals, and publications. Maintain reproducible Linux-based development environments using version control, containers, and clean software practices.

Develop and integrate cloud software supporting cyber intelligence and AI/ML capabilities on AWS and large-scale compute clusters. Responsibilities include requirements analysis, Java development, RESTful services, distributed systems, cloud deployment, DevOps, container orchestration, testing, integration, Linux scripting, and troubleshooting. The role also involves big-data technologies, Hadoop ecosystems, LLMs, RAG, analytics, and secure software engineering for national security missions.

Design, develop, test, deploy, and operationalize AI/ML algorithms for mission and business requirements. Build scalable production models, integrate data pipelines, evaluate model performance, and manage training, retraining, monitoring, and continuous improvement. Apply statistical analysis, data governance, software architecture, and data modeling principles. Support system integration and verification/validation activities, with potential leadership of distributed teams and technical customer engagement.

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, monitoring, and issue resolution. The role uses distributed NoSQL and big-data technologies, cloud architecture, AI/ML tools, microservices, containers, and infrastructure-as-code. Candidates must have at least two years of relevant software engineering experience and an active TS/SCI clearance with polygraph.

Designs, develops, tests, deploys, monitors, and continuously improves machine learning models supporting business and national security mission requirements. Integrates data pipelines, evaluates model performance, ensures data integrity, and transforms prototypes into scalable production systems. Requires expertise in machine learning frameworks, data engineering, software architecture, statistical analysis, and model validation. The role may provide technical leadership for distributed teams and requires an active TS/SCI clearance with polygraph.

Provides system administration for UNIX, Linux, Solaris, and Windows environments supporting cyber intelligence and AI/ML capabilities. Maintains client/server, storage, network, and mobile systems; performs monitoring, troubleshooting, capacity planning, performance tuning, configuration, and Tier 1 and Tier 2 support. Requires active TS/SCI clearance with polygraph, five years of system administration experience, technical education or equivalent experience, Security+ certification, scripting skills, networking knowledge, and Oracle administration experience.