AI Infrastructure Engineer
About The Position
Enjoy problem-solving, need a venue to display your creativity, and emerging technologies pique your interest; if so, Barrow Wise Consulting, LLC is for you. As a multi-disciplined leader, you understand the gifts that set you apart from everyone else. Demonstrate innovative solutions to our clients. Join Barrow Wise Consulting, LLC today. The AI Infrastructure Engineer will support Barrow Wise and perform the following duties: Assess legacy infrastructure, identify modernization gaps, and design the next-generation AI + Data Mesh infrastructure + Zero Trust 2.0 for federal mission environments. Blend AI platform engineering, secure distributed data architecture, and classified-environment deployment engineering. Evaluate current systems, design modernization roadmaps, and build secure, scalable AI infrastructure capable of supporting agentic AI, RAG pipelines, autonomous workflows, and distributed data governance. Identify gaps in scalability, observability, compliance, and AI readiness. Design and implement scalable AI infrastructure for model inference, RAG, vector databases, agentic AI, and high-performance GPU workloads. Build deterministic, well-tested deployment tooling for air‑gapped, on‑prem, and classified environments. Produce modernization roadmaps aligned with federal cybersecurity and zero-trust requirements. Collaborate with stakeholders to understand the gaps and required improvements in the various enclaves. Performs other duties as assigned.
Requirements
- US Citizenship and Secret Clearance
- Master's Degree or PhD in Engineering, Computer Science, Mathematics, or a related field
- 8 years of systems engineering and AI infrastructure development expertise
Responsibilities
- Assess legacy infrastructure, identify modernization gaps, and design the next-generation AI + Data Mesh infrastructure + Zero Trust 2.0 for federal mission environments.
- Blend AI platform engineering, secure distributed data architecture, and classified-environment deployment engineering.
- Evaluate current systems, design modernization roadmaps, and build secure, scalable AI infrastructure capable of supporting agentic AI, RAG pipelines, autonomous workflows, and distributed data governance.
- Identify gaps in scalability, observability, compliance, and AI readiness.
- Design and implement scalable AI infrastructure for model inference, RAG, vector databases, agentic AI, and high-performance GPU workloads.
- Build deterministic, well-tested deployment tooling for air‑gapped, on‑prem, and classified environments.
- Produce modernization roadmaps aligned with federal cybersecurity and zero-trust requirements.
- Collaborate with stakeholders to understand the gaps and required improvements in the various enclaves.
- Performs other duties as assigned.
Benefits
- competitive compensation packages
- attractive benefits
- great careers
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What This Job Offers
Job Type
Full-time
Career Level
Senior
