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GenAI DevOps Program Manager
NXP Semiconductors
- Austin, Texas, United States
- Austin, Texas, United States
About
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.
Languages
- English
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