AVP, AI Engineering Transformation

Job Description

As AVP, AI Engineering Transformation, you will define and institutionalize AI-enabled SDLC practices and golden paths across value streams to ensure consistency and efficiency.

You will own the product strategy and roadmap for our AI Developer Tooling Portfolio and ensure seamless integration with our DevSecOps stack.

Collaborate with CISO, Privacy, and Legal to ensure Responsible AI through policy, evaluation, and auditability.

Drive adoption and enablement through training programs, communities of practice, and structured change management.

Act as a subject matter expert and trusted advisor, translating complex AI concepts into actionable strategies for development teams.

Facilitate cross-team collaboration to ensure alignment on standards, governance, and implementation approaches across the SDLC.

Measure and deliver outcomes across flow, quality, security, developer experience, and ROI.

Manage the vendor ecosystem, licensing, and budget to optimize cost and value.

Requirements

• 4 Year/Bachelor's degree or equivalent work experience (4 years of experience in lieu of Bachelor's).
• 10+ years of experience in application development and product management experience for internal developer platforms or tools.
• Strong understanding of the software development lifecycle (SDLC) and modern development practices (Agile, DevOps, MLOps/LMMOps)
• Hands-on with modern toolchains (Git, CI/CD, test automation, observability) and GenAI in engineering (coding/test assistants, agents, RAG).
• Strong governance & security mindset (privacy, IP, model risk, data protection).
• Exceptional communication and influencing skills, with the ability to engage technical and non-technical stakeholders.