Technical Project Manager - AI/ML Programs

Role Summary

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.

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).

Good To have Skills –

Skill 1 – Data Engineering & Analytics

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.

Required Skills

• 12+ years of Project/Program Management experience.

• 8+ years managing AI/ML, Data Science, Advanced Analytics, or Generative AI programs.

• Strong understanding of:

o Machine Learning

o Deep Learning

o Generative AI / LLMs

o RAG Architecture

o Agentic AI

o MLOps / LLMOps

o 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

Nice-to-Have

• Experience working directly with Applied Materials business units.

• 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.

Ideal Candidate Profile

A seasoned TPM who can bridge business strategy, semiconductor domain expertise, and AI/ML technology, while successfully leading global teams and delivering enterprise-scale AI transformation programs for Applied Materials. The candidate should be capable of engaging both executives and technical teams and driving measurable business outcomes through AI adoption.