Senior AWS AI/MLOps Architect for Enterprise Platforms

Infopact, Inc.; Arlington (VA); On-site; USD 150,000 - 190,000; Full time

Job summary

Infopact, Inc. is seeking a senior architect to design and deliver cloud, data, AI, and MLOps platforms.

You will own production architecture including nonfunctional requirements, work with AWS services like Bedrock/SageMaker, and coordinate with platform, cybersecurity, and data-governance teams to move solutions from concept to production. The role emphasizes secure auth flows, multi-environment deployment patterns, and integration with enterprise data sources and repositories.

Qualifications

• 9+ years of experience designing and delivering cloud, data, AI, or MLOps platforms.
• Experience architecting AI/ML applications on AWS using Bedrock and/or SageMaker and related services.
• Experience designing containerized architectures using Docker and AWS container services (ECS/EKS).
• Experience integrating external apps with Databricks via REST APIs.
• Knowledge of Databricks governance, Unity Catalog, and security capabilities.
• Ability to design secure authentication/authorization flows (CAC/SSO, OIDC, OAuth).
• Experience defining infra dependencies across multi-environment setups (PrivateLink, DNS, IAM, security approvals).
• Experience designing RAG architectures connecting to SharePoint and vector-search capabilities.
• Ability to define target-state architecture, deployment patterns, and security controls.
• Experience collaborating with platform, cybersecurity, cloud, data governance, and app-dev stakeholders.

Skills

Cloud/Data/AI architectures

Security & IAM concepts

Stakeholder collaboration

Target-state architecture planning

RAG architecture design

Tools

AWS AI/ML services

Docker

ECS/EKS

Databricks REST APIs

Databricks governance

Databricks Unity Catalog

Databricks Genie

Databricks Vector Search

Terraform

CloudFormation

AWS CDK

Microsoft Graph/SharePoint

Job description

Infopact, Inc. is seeking a senior architect to design and deliver cloud, data, AI, and MLOps platforms.

You will own production architecture including nonfunctional requirements, work with AWS services like Bedrock/SageMaker, and coordinate with platform, cybersecurity, and data-governance teams to move solutions from concept to production. The role emphasizes secure auth flows, multi-environment deployment patterns, and integration with enterprise data sources and repositories.