AI / ML Architect / Technical Capability Owner

Job Summary :

Our client is building an AI Center of Excellence to standardize and scale AI / ML adoption across the enterprise. The Technical Capability Owner will define AI / ML architectures, tools, guardrails and persona-approved toolsets across AWS and Databricks to ship reliable ML and GenAI solutions. This role bridges AI, enterprise architecture, data science, security, and business teams - driving consistency, governance, and developer enablement. The successful candidate will shape the technical roadmap, establish reusable frameworks, guide platform adoption, and communicate effectively to audiences from engineering guilds to executives.

Experience :

8–12+ years in data / ML platform engineering, ML architecture, or similar roles

Hands on experience architecting, building, and deploying GenAI and ML enterprise solutions

3+ years designing at enterprise scale on AWS and Databricks

Deep experience defining reference architectures, golden paths, and reusable accelerators

Strong MLOps knowledge : MLflow, CI / CD for ML, feature stores, model serving, observability, drift detection

GenAI proficiency : RAG patterns, vector search, prompt orchestration, evaluation, safety / guardrails

Security-by-design mindset (IAM / KMS, data classification, secrets management, compliance)

Proven ability to organize and lead large technical communities (guilds, workshops, enablement programs)

Exceptional communication skills across technical and executive audiences

Nice to Have :

AWS or Databricks certifications (Solutions Architect, ML Specialty, Lakehouse / ML)

Experience with Kubernetes / EKS, Terraform, Unity Catalog, or Delta Live Tables

Background in manufacturing, industrial IoT, or edge environments