Senior AWS AI/MLOps Solution Architect

Lead the technical architecture and platform-enablement work required to deploy a secure, scalable, AWS-hosted AI assistant that integrates with the War Data Platform/Databricks and enterprise knowledge sources.

• 9+ years of experience designing and delivering cloud, data, AI, or MLOps platforms, including responsibility for production architecture and nonfunctional requirements.
• Demonstrated experience architecting AI/ML applications on AWS using services such as Amazon Bedrock and/or SageMaker, API Gateway, Application Load Balancer, ECS or EKS, ECR, S3, IAM, KMS, Secrets Manager, CloudWatch, and CloudTrail.
• Experience designing containerized application architectures using Docker and AWS container-orchestration services, including scalability, availability, networking, security, and operational support.
• Experience integrating external applications with Databricks through REST APIs, including the Databricks Genie Conversation API, SQL Statement Execution API, SQL Warehouses, or comparable Databricks APIs.
• Knowledge of Databricks identity and governance capabilities, including OAuth, service principals, user-level access, Unity Catalog permissions, row-level security, column masking, governed views, and audit logging.
• Ability to design secure authentication and authorization flows involving CAC/enterprise SSO, OIDC or OAuth, identity federation, and on-behalf-of-user access patterns.
• Experience defining infrastructure and platform dependencies across separately managed environments, including network connectivity, PrivateLink or private API access, DNS, certificates, firewall rules, IAM roles, security approvals, and service enablement.
• Experience designing RAG architectures that connect to Microsoft SharePoint and other enterprise repositories using AWS or Databricks vector-search capabilities.
• Ability to define target-state architecture, deployment patterns, technical requirements, implementation roadmaps, security controls, and platform-enablement requests for AWS and Databricks platform owners.
• Experience working directly with platform, cybersecurity, cloud, networking, data-governance, and application-development stakeholders to move an architecture from concept through production deployment., * Experience working within the War Data Platform, formerly Advana, or another DoD enterprise data platform.
• Experience with Databricks Genie, Unity Catalog, Databricks Vector Search/AI Search, and SQL Warehouses.
• Experience deploying solutions in AWS GovCloud, DoD IL4/IL5, CUI, or other regulated environments.
• Experience with infrastructure as code using Terraform, AWS CloudFormation, or AWS CDK.
• Familiarity with Microsoft Graph, SharePoint ingestion, document-level access controls, and enterprise RAG security.