GenAI DevOps Director: Strategy, Delivery & CI/CD

NXP Semiconductors; Austin (TX); Hybrid; USD 130,000 - 170,000; Full time

Job summary

A leading semiconductor manufacturer based in Austin, TX is seeking a GenAI DevOps Program Manager. The role involves overseeing the strategy, development, and deployment of generative AI technologies, integrating them into the DevOps lifecycle. Ideal candidates have extensive program management experience in technology, strong leadership skills, and a deep understanding of both DevOps principles and AI/ML. The position is hybrid, requiring 3 days in office and 2 days remote work.

Qualifications

• 12+ years in program or project management, preferably in AI/ML or technology-driven environments.
• Proven track record of delivering complex, cross-functional programs.

Responsibilities

• Develop a comprehensive vision for GenAI adoption within DevOps workflows.
• Manage large-scale GenAI initiatives through the full lifecycle.
• Act as a bridge between AI research, engineering, and product teams.
• Identify potential risks associated with GenAI development.
• Establish and improve the processes used by GenAI teams.
• Provide education and training to development and operations teams.
• Define and track key performance indicators for GenAI adoption.
• Manage relationships with external vendors providing AI training and tools.
• Drive the infusion of GenAI into CI/CD pipelines.

Skills

Generative AI

DevOps

Cloud computing

Strategic planning

Agile methodology

Risk management

Communication

Leadership

Problem-solving

Education

Bachelor’s or Master’s degree in Computer Science, Electronic Engineering, Data Science

Job description

A leading semiconductor manufacturer based in Austin, TX is seeking a GenAI DevOps Program Manager. The role involves overseeing the strategy, development, and deployment of generative AI technologies, integrating them into the DevOps lifecycle. Ideal candidates have extensive program management experience in technology, strong leadership skills, and a deep understanding of both DevOps principles and AI/ML. The position is hybrid, requiring 3 days in office and 2 days remote work.