AI Solution Architect
Listed on 2026-10-17
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Software Development
AI Engineer (Applied/Software), AWS
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Innovate with intentionBuild mission-ready tech that protects the nation.
Organizations are increasingly using artificial intelligence (AI), cloud computing, and modern software architectures to solve complex mission challenges. Delivering these capabilities requires technical leaders who can connect strategy to implementation and turn emerging technologies into secure, scalable solutions. As a Solution Architect, you know how to translate complex technical requirements into production-ready systems. We’re looking for an experienced Solution Architect like you to support innovative AI and cloud initiatives for national security.
As a Solution Architect on our team, you’ll design and deliver production-grade AI systems, cloud-native platforms, and reusable architecture baselines. You’ll collaborate with architects, engineers, product owners, and mission partners to develop agentic AI systems, retrieval-augmented generation (RAG) pipelines, multi-agent orchestration, and Dev Sec Ops capabilities. You’ll also contribute to platform architecture, execute complex technical work streams, and help move research and prototypes into working systems under demanding timelines.
With your ability to operate across AI architecture, cloud infrastructure, and software engineering, you’ll help establish repeatable technical patterns and accelerate innovation across the mission.
Join us. The world can’t wait.
You Have:
- Experience architecting and delivering enterprise AI, cloud, and platform solutions for government or regulated environments
- Experience designing and delivering production-grade AI systems using agentic frameworks such as Lang Chain, Lang Graph, AWS Bedrock Agents, or CrewAI
- Experience architecting highly available, scalable, and resilient cloud environments using platforms such as AWS services or Kubernetes
- Experience implementing Dev Sec Ops , CI/CD, and Infrastructure-as-Code capabilities using tools such as Git Hub Actions, Terraform, Helm, or Cloud Formation
- Experience leading or co-architecting research, development, or prototyping initiatives in ambiguous environments and moving concepts into working systems
- Knowledge of federal, Department of Defense, or government programs, including IL4, IL5, FedRAMP, or AWS Gov Cloud
- Ability to obtain a Secret clearance
- Bachelor’s degree in Computer Science, Engineering, or Information Technology
Nice If You Have:
- Experience with NVIDIA NeMo, NeMo-RL, Megatron-LM, or similar large-scale model training frameworks
- Experience with NVIDIA platform technologies, including NIM, TensorRT-LLM, or Triton Inference Server
- Experience with specification-driven development workflows or AI-native software development lifecycle practices
- Experience using Cursor, Claude Code, Git Hub Copilot, or similar AI-enabled engineering tools
- Experience implementing Git Ops and declarative infrastructure patterns using Argo CD or similar technologies
- Experience developing internal platform tools or developer portals, including Backstage or similar platforms
- Experience working in multi-cloud or hybrid cloud environments
- Knowledge of GPU cluster management, distributed training strategies, or machine learning infrastructure at scale
- Knowledge of emerging AI protocols, including Model Context Protocol, Agent-to-Agent, or similar agentic communication standards
- Ability to provide technical guidance, mentor architects and engineers, or lead architecture and platform engineering teams
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified…
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