Senior AI Engineer: Generative AI, RAG & Agentic (Remote)

Mission Technologies, a division of HII; Arlington (VA); Hybrid; USD 160,000 - 175,000; Full time

Job summary

Mission Technologies, a division of HII, seeks an AI Engineer to design, implement, and optimize secure generative AI, retrieval-augmented generation (RAG), and agentic systems for enterprise applications in AWS GovCloud. You will lead data ingestion, model integration, prompts, tool-calling interfaces, and guardrails to deliver production-grade AI capabilities with strict security controls.

The role requires active Secret clearance, senior-level experience, and the ability to work remotely with

Qualifications

• Experience building and operating production generative AI, RAG, or AI-enabled applications.
• Strong understanding of large language models, embeddings, vector search, retrieval patterns, prompt design, structured outputs, and AI service APIs
• Experience designing RAG pipelines and integrating models with enterprise data sources, tools, APIs, or application services.
• Experience developing or evaluating agentic workflows that use models, retrieval, and approved tools to complete bounded tasks.
• Hands-on experience with Amazon Bedrock, Boto3, and AWS cloud services.
• Experience evaluating and improving AI capabilities for quality, groundedness, latency, reliability, security, and cost.
• Experience implementing practical AI security and governance controls, including prompt-injection mitigation, input and output validation, access-control integration, rate limiting, usage monitoring, logging, and data protection.
• Experience with Git-based development, automated testing, and collaborative software-delivery practices.
• Clearance: Must possess and maintain an active Secret clearance.
• Fully Remote position; must align with Eastern Time Zone core business hours.

Responsibilities

• 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 allowlists, 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, and identity teams to integrate secure and dependable AI capabilities into production applications.

Skills

Generative AI

RAG pipelines

Agentic workflows

AWS Bedrock

Boto3

AI governance

Python

Security controls

Git-based development

Secret clearance

Education

Bachelor's degree in related field

Master's degree in related field

High School Diploma or equivalent

Tools

Amazon Bedrock

Boto3

AWS GovCloud

OpenSearch

pgvector

LangChain

Job description

Mission Technologies, a division of HII, seeks an AI Engineer to design, implement, and optimize secure generative AI, retrieval-augmented generation (RAG), and agentic systems for enterprise applications in AWS GovCloud. You will lead data ingestion, model integration, prompts, tool-calling interfaces, and guardrails to deliver production-grade AI capabilities with strict security controls.

The role requires active Secret clearance, senior-level experience, and the ability to work remotely with