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Serve as the division’s chief AI advisor, leading adoption, integration, governance, and deployment of generative AI, LLMs, machine learning, and intelligent automation across mission-critical defense software. Develop AI and NLP pipelines, dashboards, prototypes, and developer tooling; establish AI-augmented engineering standards; evaluate AI-generated code; mentor engineering teams; and ensure secure, reliable, compliant implementation in sensitive environments.

Serves as the division’s chief AI advisor, leading adoption, integration, governance, and secure deployment of generative AI, LLMs, machine learning, and automation across mission-critical defense software. Develops AI pipelines, dashboards, prototypes, and developer tooling; evaluates emerging frameworks; establishes AI-augmented engineering standards; and mentors engineering teams. The role requires collaboration across engineering, security, compliance, and program leadership, with responsibility for reliable, secure, and mission-assured AI solutions.

Serves as the organization’s chief AI advisor, leading the adoption, integration, governance, and secure deployment of generative AI, LLMs, machine learning, and automation across defense software systems. Develops AI-enabled engineering practices, NLP pipelines, dashboards, prototypes, and production integrations while evaluating emerging developer tools. Mentors engineering teams, defines AI standards, addresses security and compliance risks, and collaborates with technical and non-technical stakeholders to improve delivery speed, reliability, and mission assurance.

Design, develop, test, and integrate high-quality software for defense customers. Translate requirements into technical designs, implement solutions across multiple stacks, participate in code reviews, apply secure coding practices, support lab and field integration/testing, and manage project risks and contractual deliverables.

Design and verify system-of-systems solutions for defense customers: translate requirements into testable designs, develop data/test algorithms, perform integration and verification, analyze system behavior, implement SysML models, and communicate results to stakeholders.

Systems Engineer will translate customer needs into system solutions, develop test/data algorithms, define requirements, design/verify system architectures, create test plans, perform integration and analysis, implement SysML models, and communicate with customers to close technical issues. On-site role requiring Secret clearance and ~10% travel.

Design, deploy, and maintain enterprise Linux systems and system images with deep kernel-level expertise. Manage hyperconverged and virtualization infrastructures, architect virtual and physical networking, perform cross-stack troubleshooting, integrate cybersecurity and compliance, and produce clear technical designs for cross-functional teams in a defense environment.

Design, develop, test, and integrate software for defense customers. Convert requirements into technical solutions, implement secure, high-quality code, participate in reviews, support lab and on-site integration, and manage risks and contractual deliverables.

Design, build, and deploy on‑prem, air‑gapped AI/agent systems: integrate LLMs, MCP interfaces, RAG retrieval, and orchestration; optimize local CPU/GPU inference, harden Linux environments, run experiments, and collaborate across engineering and mission teams to move prototypes into operational capabilities.

Design and deliver on-prem, air-gapped AI systems and agentic workflows. Build integrations across LLMs, MCP, RAG pipelines, tool-using agents, orchestration, local inference infrastructure, and test/optimize production AI capabilities for mission environments.