GenAI DevOps Program Manager

What You'll Do

• 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.
• More information about NXP in the United States...
• NXP is an Equal Opportunity/Affirmative Action Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law.
• In addition, NXP will provide reasonable accommodations for otherwise qualified disabled individuals. #LI-6692