Cloud Infrastructure & AI Engineering

Cloud Infrastructure & AI Engineering

Start Date: Immediately
Duration: 1 year (1 to 3 year possible extension)
Location: Remote

Active Secret Clearance

Statement of Work:

(Federal Agency ) has responsibility for operations and maintenance of nine applications supporting the Background Investigation Enterprise Systems (BIES). The program supports modernization efforts by migrating systems to a secure cloud environment and modernizing software that captures, processes, and retains background investigation information for personnel seeking access to sensitive information.

Task Description:

Duties include but not limited to:

• Define IAM roles, VPC endpoints, Knowledge Bases, and Guardrails as Terraform modules not console clicks.
• Version and distribute reusable infrastructure artifacts (Terraform modules, container images, Lambda packages) through Artifactory.
• Build and deploy connector infrastructure (e.g., MCP servers, Lambda-based integrations) linking Bedrock internal APIs, databases, and ticketing systems hosted and version-controlled like any other service.
• Deploy custom/fine-tuned models via Bedrock Custom Model Import or Provisioned Throughput, including the cost/commitment tradeoff analysis that comes with it.
• Build cost usage observability (per-model, per-developer spend and budget alerts) so spend doesn't scale silently.

Required Skills/Level of Experience:

• Active Secret clearance with Security Plus certification.
• Terraform - Bedrock resources (IAM, Knowledge Bases, Guardrails, VPC endpoints, Provisioned Throughput) as reusable, version-controlled modules.
• Artifactory - manages and distributes versioned infrastructure artifacts for reproducibility across dev/test/prod.
• Fine-tuned model deployment - hands-on with Bedrock Custom Model Import (open-source model weights, size/format constraints) and Provisioned Throughput commitment planning.
• Connector/integration hosting - builds and operates the actual services (Lambda, ECS, containers) exposing internal data sources to Bedrock agents - not just configuring existing ones; see additional comments.
• Experience: 2+ years.

Nice to Have Skills:

• Reinforcement fine-tuning (RFT) workflow experience on Bedrock.
• Application Inference Profiles for per-team cost attribution.
• Multi-account AWS Organizations structure for dev/test/prod separation.
• CI/CD pipeline integration for Terraform + Artifactory promotion workflows.
• Cross-cloud IaC experience (Azure/Google Cloud Platform) supporting anti-lock-in posture.