Senior AI Engineer; AWS

GDIT is looking for a Senior AI Engineer (AWS) to join our NIAID team, designing, building, and deploying AI solutions on AWS that serve the NIAID research community.

We are seeking a highly experienced and customer-focused engineer to architect, build, and evolve secure, scalable, and reliable AWS AI solutions supporting generative AI and scientific research. Our ideal candidate combines hands-on expertise across the AWS AI stack (Amazon Bedrock, Bedrock Agent Core, Amazon Sage Maker, Amazon Q) with a strong command of modern application architecture, AI/LLM technologies, infrastructure, networking, identity, security, automation, and Dev Ops practices.

As a senior member of our Cloud Platform & Dev Ops team, you will serve as an AI engineering expert. You will work closely with application developers, AI engineers, cloud engineers, platform developers, security teams, customers, and other stakeholders to translate requirements into well-designed solutions.

Remote candidates will be considered; however, 2-3 days onsite in Rockville is strongly preferred.

This role requires you to obtain and maintain a Public Trust and to provide onsite fingerprinting at a designated facility. This investigation may review personal and criminal behavior, financial conduct, foreign influence, as well as other adjudications.

Responsibilities:

• Design, build, and ship autonomous and multi-agent systems in production using Amazon Bedrock and Bedrock Agent Core — covering tool use, orchestration, memory, identity, and human-in-the-loop patterns.
• Select, evaluate, and integrate foundation models on Amazon Bedrock; design, implement, and evaluate RAG pipelines (including retrieval quality and RAG evaluation); apply prompt engineering and model customization.

• Design highly available, scalable, secure AI architectures on AWS, applying the Well-Architected Framework and generative-AI best practices. Contribute to the overall AI strategy, reference architectures, and reusable accelerators.

• Operationalize AI agents end-to-end — automated agent evaluation, guardrails, observability, cost and latency optimization, CI/CD, and Infrastructure as Code (Terraform or Cloud Formation). Own the reliability, quality, and performance of deployed agents.

• Implement responsible-AI guardrails, data privacy, and security controls (Amazon Bedrock Guardrails, IAM, encryption, PII handling) and ensure compliance with relevant frameworks.

• Communicate clearly with technical and non-technical stakeholders; mentor junior engineers; and stay current with the fast-moving AWS AI landscape.
• Architect, implement, and evolve AWS cloud solutions supporting generative AI application architectures, including Amazon Bedrock, multimodal LLMs, Retrieval-Augmented Generation (RAG), vector search, knowledge integration, agentic capabilities, and distributed cloud AI services.
• Partner with application developers, AI engineers, security teams, and stakeholders to translate requirements into scalable, well-architected cloud platform solutions.
• Engineer full-stack AWS solution plumbing to support production GenAI applications.
• Serve as a senior technical resource and customer-facing advisor — mentoring engineers, communicating tradeoffs, and presenting recommended AI approaches to technical and non-technical stakeholders.

Required Qualifications:

• Bachelors in Computer Science, AI/Data Science, Engineering (or equivalent practical experience)
• 8+ years of relevant experience.
• Proven experience designing, building, and running AI agents or generative AI applications in production — not only prototypes or notebooks.
• Hands-on experience with the AWS AI/ML stack:
  Amazon Bedrock, Bedrock Agent Core, Amazon Sage Maker, and Amazon Q.
• Solid command of generative AI and agentic…