AI/ML Operations Architect

Job Title: AI/ML Operations Architect

Location: Onsite – Gaithersburg, MD

Type: Long Term Contract (2+ Years)









About the Role:



Evinova is seeking an experienced AI/ML Operations Architect to design and manage scalable, secure, and cost-effective cloud-based ML/AI infrastructure in a regulated healthcare environment. You'll be part of a high-impact team driving the operational excellence of ML/AI platforms, MLOps/LLMOps practices, and GenAI capabilities.









Key Responsibilities:





Architect & implement AWS-based ML/AI platforms in a multi-tenant SaaS environment

Automate infrastructure with AWS CDK (TypeScript), Projen, Argo CD, and GitOps

Manage Kubernetes clusters, Kubeflow, and Airflow pipelines

Evaluate and deploy foundation models / LLMs using tools like Bedrock, SageMaker

Lead ML governance, compliance (GxP, GMLP), and framework standardization (WAF/WAFER)

Optimize system performance, scalability, cost, and model lifecycle management











Required Skills:





5+ years in cloud/DevOps architecture (preferably in regulated domains)

Deep expertise with AWS services (EC2, S3, Lambda, RDS, SageMaker, Bedrock)

Proficiency in TypeScript, AWS CDK, Projen, CI/CD pipelines

Strong experience with MLOps, LLMOps, and Kubernetes (K8s)

Understanding of the Data Science Lifecycle and ML/AI orchestration tools











Preferred/Secondary Skills:





Experience with Airflow, Kubeflow, or Argo Workflows

Familiarity with microservices architecture, API design, SQL/NoSQL databases

Strong documentation, cross-team collaboration, and compliance awareness (GCP/GMLP)

Strategic mindset for evaluating GenAI costs, architectures, and performance