About the company
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Infrastructure Engineer - CLEARED based in the United States.
Responsibilities
- Design and implement secure AWS infrastructure for AI/ML workloads and application modernization initiatives.
- Develop reusable, version-controlled Terraform modules for IAM roles, VPC endpoints, Amazon Bedrock Knowledge Bases, Guardrails, and other cloud resources.
- Manage and distribute reusable infrastructure artifacts, including Terraform modules, container images, and Lambda packages, through Artifactory.
- Build and deploy connector infrastructure, including MCP servers and AWS Lambda-based integrations, connecting Amazon Bedrock with internal APIs, databases, ticketing systems, and other data sources.
- Host, version, operate, and maintain connector services as production infrastructure alongside other application services.
- Deploy custom and fine-tuned machine learning models using Amazon Bedrock Custom Model Import and Provisioned Throughput.
- Evaluate Provisioned Throughput options, model deployment requirements, and associated cost and commitment considerations.
- Develop cost and usage observability capabilities to track AI spending by model and developer and implement budget alerts.
- Establish repeatable infrastructure and deployment processes that promote consistency across development, test, and production environments.
- Support secure cloud modernization initiatives for applications involved in federal background investigation operations.
- Apply infrastructure-as-code, version control, automation, and repeatable deployment practices throughout the development lifecycle.
Requirements
- U.S. citizenship is required.
- An active Secret clearance and Security+ certification are required.
- Hands-on experience with Terraform and AWS Bedrock resources, including IAM, Knowledge Bases, Guardrails, VPC endpoints, and Provisioned Throughput.
- Demonstrated ability to develop reusable, version-controlled Terraform modules rather than relying on manual cloud configuration.
- Experience managing and distributing versioned infrastructure artifacts through Artifactory.
- Hands-on experience deploying custom and fine-tuned models using Amazon Bedrock Custom Model Import.
- Experience with Amazon Bedrock Provisioned Throughput and related cost, capacity, and commitment planning.
- Experience building and operating cloud-based connector and integration services using technologies such as AWS Lambda, ECS, and containers.
- Experience exposing internal APIs, databases, or other enterprise data sources to Amazon Bedrock agents through secure integration services.
- Strong experience developing and maintaining cloud infrastructure and services through code, version control, and repeatable deployment processes.
- Preferred: experience with Reinforcement Fine-Tuning (RFT) workflows on Amazon Bedrock.
- Preferred: experience with Application Inference Profiles for per-team cost attribution.
- Preferred: experience working within multi-account AWS Organizations environments.
- Preferred: experience integrating Terraform and Artifactory promotion workflows into CI/CD pipelines.
- Preferred: cross-cloud Infrastructure as Code experience with Azure and/or GCP.
Conditions
- W2 hourly compensation of $70–$85 per hour, depending on experience, qualifications, location, and certifications.
- Fully remote work opportunity within the United States.
- Potential eligibility for paid time off (PTO).
- Potential medical, dental, and vision coverage.
- Potential life insurance coverage.
- Potential long-term disability insurance.
- Potential 401(k) plan.
- Additional optional benefits may be available depending on compensation type and eligibility.
- Opportunity to contribute to multi-year projects involving secure cloud modernization and emerging AI technologies.
- Professional support and opportunities to develop skills across cloud infrastructure, AI/ML, and federal technology environments.
- Work environment emphasizing integrity, professionalism, collaboration, and work-life balance.