Technical AI/ML Project Manager
Listed on 2026-08-30
-
IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, AI Business & Operations, IT Project Manager
Role
- Technical AI/ML Project Manager
Location
- Santa Clara, CA
12+ Months
Must Have Skills
- Skill 1 – AI/ML, Data Science, Advanced Analytics, or Generative AI programs
- Skill 2 – Experience with Azure AI, AWS AI, Databricks, Snowflake, Python, SQL
- Skill 3 – Enterprise AI platform implementations (Microsoft Copilot, Agentic AI, AI Assistants).
Seeking an experienced Technical Project Manager (TPM) with a strong background in Artificial Intelligence, Machine Learning, Generative AI, Data Science, and Enterprise AI Transformation Programs. The candidate will lead end-to-end delivery of AI/ML initiatives, partnering with business stakeholders, data scientists, ML engineers, architects, and global delivery teams to drive innovation and measurable business outcomes.
Key Responsibilities- Lead large-scale AI/ML and Generative AI programs from ideation through deployment.
- Manage cross-functional teams including Data Scientists, ML Engineers, Data Engineers, Architects, and Product Owners.
- Drive requirements gathering, roadmap definition, planning, budgeting, and stakeholder management.
- Coordinate AI model development, MLOps deployment, validation, governance, and production rollout.
- Partner with business teams to identify and prioritize AI use cases.
- Manage Agile/Scrum delivery, sprint planning, risk management, and executive reporting.
- Drive AI adoption, change management, and business value realization.
- Present program updates to senior leadership and customer executives.
- Manage vendor and offshore delivery teams.
12+ years of Project/Program Management experience.
8+ years managing AI/ML, Data Science, Advanced Analytics, or Generative AI programs.
- Machine Learning
- Deep Learning
- Generative AI / LLMs
- RAG Architecture
- Agentic AI
- MLOps / LLMOps
- Data Engineering & Analytics
Experience with Azure AI, AWS AI, Databricks, Snowflake, Python, SQL.
Familiarity with AI governance, model evaluation, security, and compliance.
Strong stakeholder management and executive communication skills.
Experience managing globally distributed teams.
Preferred Semiconductor Experience
Semiconductor manufacturing processes.
Yield optimization and process control.
Equipment analytics and predictive maintenance.
Fab automation and smart manufacturing.
Anomaly detection and equipment failure prediction.
Process Diagnostics & Control (PDC) tools.
Digital Twin and Computer Vision solutions.
Certifications (Preferred)- PMP / PgMP
- Certified Scrum Master (CSM)
- SAFe Agilist
- Microsoft Azure AI Engineer
- Semiconductor Data Analytics and Manufacturing Intelligence programs.
- Enterprise AI platform implementations (Microsoft Copilot, Agentic AI, AI Assistants).
- Knowledge of SAP, MES, PLM, and semiconductor engineering systems.
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