Principal Solution Architect, AI & OSINT Systems
New
B
Bluestaq US ExternalDefense, Intelligence
Remote - Colorado or VirginiaFull-TimePrincipal
Salary200,000 - 300,000 USD per year
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Job Details
- Experience
- 10+ years designing and deploying production systems, including 5+ years architecting on AWS.
- Required Skills
- AWSTerraform
Requirements
- 10+ years designing and deploying production systems, including 5+ years architecting on AWS.
- Deep AWS experience across compute, networking, IAM, storage, and data services, including AWS GovCloud.
- Hands-on experience with Amazon Bedrock and Amazon SageMaker for production AI and ML workloads.
- Experience with AWS networking and security, including VPC design, PrivateLink, Transit Gateway, IAM Identity Center, and AWS KMS.
- Experience with infrastructure as code on AWS using AWS CDK, CloudFormation, or Terraform, plus CI/CD in restricted environments.
- Experience deploying AWS workloads in disconnected, degraded, or air-gapped (DDIL) conditions, including AWS Snowball Edge or AWS Outposts.
- Working knowledge of the differences between commercial AWS and the GovCloud, Secret, and Top Secret Regions.
- Familiarity with vector search, retrieval-augmented generation, and embedding pipelines on AWS.
- Working knowledge of OSINT and publicly available information collection, tradecraft, and analytic workflows.
- Working knowledge of DoD compliance frameworks, including the Cloud Computing SRG, FedRAMP, and ITAR.
- Current AWS Professional certification, such as Solutions Architect Professional.
- Prior OSINT analyst or PAI targeting experience in a DoD or Intelligence Community context.
- Completion of a foundational intelligence analyst course (e.g., DoD Intelligence Analyst Course, Army 35F, ODNI Analysis 101, or CDASA certification).
Responsibilities
- Set the AWS reference architecture for AI and ML systems that ingest, enrich, and exploit open-source and publicly available information at scale.
- Architect around the service gaps and parity differences between commercial AWS and the government and classified regions.
- Build the AI stack on Amazon Bedrock and Amazon SageMaker, including model access, Bedrock Guardrails, Knowledge Bases, and managed endpoints.
- Design retrieval pipelines using Amazon OpenSearch and S3 data lakes for governed, least-privilege access.
- Orchestrate workflows with AWS Step Functions and AWS Lambda, and define CI/CD with infrastructure as code using AWS CDK and Terraform.
- Extend services and capabilities to the edge for disconnected and DDIL operations and local model serving.
- Define the deployment pattern for fully air-gapped enclaves, including mirrored registries, signed model imports, and local vector stores.
- Own model governance for air-gapped and classified environments, including provenance, integrity verification, and update processes.
- Partner with security and accreditation authorities to drive ATO and continuous ATO.
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