GenAI DevOps Program Manager

NXP is seeking a GenAI DevOps Program Manager that will oversee the strategy, development and deployment of generative AI (GenAI) technologies, ensuring they are integrated efficiently and securely into the development and operations (DevOps) lifecycle. This role combines high-level program management with deep technical knowledge of both DevOps principles and AI/ML, focusing on innovation, efficiency, and responsible AI practices.

Location: This position is located in Austin, TX and is not open to 100% remote. This is a hybrid role with 3 days in office and 2 days work from home each week.

Roles and responsibilities

• Strategic leadership: Develop a comprehensive vision for GenAI adoption within DevOps workflows, aligning initiatives with broader organizational goals.
• Program coordination: Manage large-scale GenAI initiatives through the full lifecycle, from hypothesis validation and fine-tuning to deployment and post-release evaluation.
• Cross-functional collaboration: Act as a bridge between AI research, engineering, and product teams to facilitate communication and ensure alignment.
• Risk management: Identify potential risks associated with GenAI development, such as model accuracy, bias, and security vulnerabilities, and develop mitigation strategies.
• Process definition: Establish and improve the processes used by GenAI teams to coordinate, communicate, and resolve cross-team issues.
• Education and change management: Foster a GenAI-forward culture by providing education and training to development and operations teams.
• Performance tracking: Define and track key performance indicators (KPIs) for GenAI adoption and measure the business impact and ROI of initiatives.
• Vendor management: Manage relationships with external vendors providing AI training and tools.
• Automation: Drive the infusion of GenAI into CI/CD pipelines to automate tasks like code generation, testing, and monitoring.

Required skills and qualifications

To be successful in the role, you will bring a blend of technical expertise, business acumen, and soft skills:

Technical expertise:

• Generative AI: Knowledge of AI/ML concepts, including large language models (LLMs), prompt engineering, model training, and fine-tuning.
• DevOps: Deep understanding of DevOps practices, such as continuous integration (CI), continuous delivery (CD), infrastructure as code (IaC), and site reliability engineering (SRE).
• Cloud computing: Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and associated tools for managing infrastructure and AI workloads.

Program management skills:

• Strategic planning: Ability to create roadmaps, prioritize projects, and align initiatives with business goals.
• Agile methodology: Experience with Agile and Scrum to manage the fast-paced development of AI products.
• Risk management: Capacity to identify project risks and develop contingency plans.

Soft skills:

• Communication: Exceptional written and verbal communication to effectively engage both technical and non-technical stakeholders.
• Leadership: Strong collaborative leadership and influencing skills to drive alignment and motivate cross-functional teams.
• Problem-solving: A proactive, problem-solving mindset and the ability to operate effectively in ambiguous, fast-paced environments.

Experience and education:

• 12+ years in program or project management, preferably in AI/ML or technology-driven environments.
• Proven track record of delivering complex, cross-functional programs.
• Education: Bachelor’s or Master’s degree in Computer Science, Electronical Engineering, Data Science, or related field.