Senior AWS AI/MLOps Solution Architect

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. 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.

Job Description:

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.

Preferred qualifications:

• 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.

Infopact is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other characteristic protected by law. We strongly encourage veterans — including those with technical and operational occupational specialties — to apply.

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