Position Details
About this role
Senior manager responsible for driving architecture, development, and operations of ML engineering and GenAI systems. Leads a team of ML engineers and collaborates with Data Science, Data Engineering, and DevOps to deliver enterprise AI solutions at scale.
Key Responsibilities
- Define and execute the ML/GenAI platform strategy aligned with enterprise digital transformation
- Lead a team of ML engineers and collaborate with Data Science, Data Engineering, DevOps, and business units
- Own platform roadmap, architecture decisions, and budget planning to scale AI capabilities
- Design and operationalize GenAI pipelines (LLMs, RAG, prompt orchestration, fine-tuning, safety guardrails)
- Build and deploy secure, scalable GenAI applications with privacy and compliance emphasis
Technical Overview
Focuses on GenAI platform strategy, LLM integration, and GenAI pipelines (RAG, prompt orchestration, fine-tuning, safety guardrails) with strong emphasis on observability and governance; stack includes MLflow, KServe, SageMaker, Vertex AI, Databricks, Kubernetes, and Terraform.
Ideal Candidate
The ideal candidate is a senior AI/ML platform leader with 5+ years building ML infrastructure, GenAI pipelines, and cross-functional leadership, proficient with MLOps, LLM tooling, and cloud platforms.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Bachelor's degree in a relevant field, 5+ years leading product or technical teams, 2+ years Gen AI experience
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