Sr. GenAI Solutions Architect, DoW
Listed on 2026-02-15
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Scientist
Description
Final date to receive applications:
Feb 15, 2026
Do you like creating innovative generative AI solutions that solve challenging problems? Are you passionate about building GenAI prototypes and architectures using the latest AWS cloud technologies to support defense missions?
Amazon Web Services is looking for a talented and technical GenAI Solutions Architect to help accelerate our business supporting defense customers. As a Sr. GenAI Solutions Architect on the DoD Solutions Architect team, you will architect, build, test, and deliver generative AI prototypes and production solutions for our defense customer's missions. This is an excellent opportunity to join Amazon's world class technical teams, working with some of the best and brightest engineers while also developing your skills and furthering your career within one of the most innovative and progressive technology companies.
Amazon Web Services (AWS) is looking for experienced and motivated GenAI practitioners who align with our Leadership Principles and possess a unique balance of technical depth in generative AI and strong interpersonal skills. You will partner with customers, AWS Sales and several other AWS teams to craft highly scalable, flexible and resilient GenAI architectures that address defense customer business problems and accelerate the adoption of AWS GenAI services.
You will have the opportunity to help shape and execute a strategy to build mind share and broad use of AWS GenAI capabilities within the defense space. The ideal candidate must be self-motivated with a proven track record in building generative AI solutions as an engineer or architect. You should also have a demonstrated ability to think strategically about business, products, and technical challenges in the GenAI space.
Are Looking For Someone Who Is Passionate About
- Building scalable, secure, and innovative GenAI prototypes and production solutions using AWS services like Amazon Bedrock, Amazon Sage Maker, Amazon Q, and other AWS GenAI capabilities that solve diverse and challenging problems across customers in the defense sector.
- Hands‑on development of GenAI applications leveraging large language models (LLMs), retrieval‑augmented generation (RAG), prompt engineering, fine‑tuning, and agentic workflows.
- Architecting end‑to‑end GenAI solutions from prototype to production, including model selection, infrastructure design, security implementation, and operational excellence.
- Using out of the box thinking to challenge existing assumptions and design bold GenAI solutions that transform mission outcomes.
- Optimizing GenAI processes using tools, repeatable solution patterns, infrastructure‑as‑code, and automation.
- Having a strong understanding of large scale GenAI architectures and implementation patterns. The ideal candidate will have past experience working as a GenAI engineer or architect, building production GenAI applications. You will enjoy keeping your existing technical skills honed and developing new ones, so you can make strong contributions to in‑depth GenAI architecture discussions. You will regularly take part in deep‑dive education and design exercises to create truly innovative GenAI solutions built on AWS.
This position requires that the candidate selected be a US Citizen and obtain and maintain an active TS/SCI security clearance with polygraph.
Key job responsibilities- Own the approach (business, organizational, technical) and ultimate success around specific GenAI projects, from prototype development through production deployment.
- Build functional GenAI prototypes using AWS services (Amazon Bedrock, Sage Maker, Lambda, Step Functions, etc.) to demonstrate art‑of‑the‑possible for DoD customers.
- Architect production‑ready GenAI solutions that address security, scalability, cost optimization, and operational requirements for defense environments.
- Discuss complex defense mission requirements and GenAI technical concepts with executives, line managers, data scientists, and mission operators.
- Engage with various AWS teams, including GenAI service teams, data & analytics, IoT, business development, marketing, partners and regional professional…
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