DSCA AI Engineer - Generative AI, RAG & Agentic Systems; Software Development Analyst

DSCA AI Engineer - Generative AI, RAG & Agentic Systems (Software Development Analyst) - 30714

Location: Arlington, VA, Remote, United States

Requisition Number:30714

Required Travel: 0 - 10%

Employment Type:

Full Time/Salaried/Exempt

Anticipated Salary Range:$-$

Security Clearance:

Secret

Level of

Experience:

Senior

This opportunity resides with Warfare Systems (WS), a business group within HII’s Mission Technologies division. Warfare Systems comprises cyber and mission IT; electronic warfare; and C5

ISR systems.

HII works within our nation’s intelligence and cyber operations communities to defend our interests in cyberspace and anticipate emerging threats. Our capabilities in cybersecurity, network architecture, reverse engineering, software and hardware development uniquely enable us to support sensitive missions for the U.S. military and federal agency partners.

Meet HII’s Mission Technologies Division
Our team of more than 7,000 professionals worldwide delivers all-domain expertise and advanced technologies in service of mission partners across the globe. Mission Technologies is leading the next evolution of national defense – the data evolution - by accelerating a breadth of national security solutions for government and commercial customers.

We are seeking an experienced AI/RAG Engineer to design, build, and optimize secure generative AI, retrieval-augmented generation (RAG), agentic, and AI-governance capabilities for an enterprise application in an AWS Gov Cloud IL4/IL5 environment.

The engineer will lead development of the AI intelligence layer, including data ingestion, retrieval, model integration, prompting, agent workflows, evaluation, AI gateway configuration, and AI security
. The role will work closely with front-end, back-end, platform, cybersecurity, and Department of War (DoW) identity teams to deliver reliable production AI capabilities.

• Design, develop, and optimize production generative AI, RAG, and agentic capabilities using approved Amazon Bedrock services
  .
• Evaluate and integrate foundation models based on quality, relevance, latency, reliability, security, and cost.
• Build and improve RAG pipelines supporting ingestion, preprocessing, chunking, embeddings, vector search, retrieval, reranking, and context generation.
• Design agentic workflows that combine foundation models, retrieved knowledge, approved tools, and enterprise APIs to complete bounded multi-step tasks.
• Develop prompts, structured-output patterns, tool or function-calling interfaces, and guardrail configurations appropriate to application requirements.
• Establish AI evaluation methods, test datasets, and monitoring approaches to assess response quality, groundedness, accuracy, safety, tool-use outcomes, latency, reliability, and cost.
• Develop knowledge-ingestion pipelines for structured and unstructured data while preserving source-level access controls and applicable data-handling requirements.
• Implement AI security controls, including prompt-injection defenses, input and output validation, data protection, audit logging, and human-review or escalation workflows where required.
• Design and administer AI gateway configurations for approved model and agent access, including model routing and allow lists, service-identity or virtual-key controls, rate limits, budgets, usage attribution, fallback behavior, logging, and guardrail integration.
• Develop Python-based AI services, APIs, and integration patterns for consumption by backend application services.
• Partner with platform teams on infrastructure-as-code, deployment, observability, and operational support for AI/RAG services, AI gateways, ingestion pipelines, vector-search capabilities, and supporting AWS resources
  .
• Collaborate with backend, front-end, cybersecurity, platform,…