Role: Technical Project Manager - AI/ML Programs(23548-1)
Duration: 6-12+ Months Contract
Location: Santa Clara, CA (5 Days Onsite)
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
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.
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.