AI Engineering Enablement - Vice President

Deutsche Bank • Cary, NC

1d • $125,000 - $185,000 • Hybrid

About The Position

A builder and early adopter who turns emerging AI capabilities into practical developer workflows. Enable adoption across teams through hands‑on solutions, guidance, and measurable outcomes. Ensure solutions align with security, safety, quality, and operational expectations, escalating gaps early. Feed learnings back into standards and platform roadmaps. Inform what to scale, what to stop, and what to adjust based on delivery and adoption signals.

Requirements

• Strong hands-on engineering background with recent coding experience
• Early adopter mindset with practical, disciplined use of new technologies (build, measure, iterate)
• Builder mentality with ability to execute independently while collaborating effectively
• Experience in consulting, customer engineering, developer productivity, or similar roles focused on adoption and outcomes
• Exposure to transformation or large-scale change initiatives, with an understanding of adoption mechanics.
• Solid communication skills with technical and business stakeholders

Nice To Haves

• Experience working across multiple teams or domains and adapting to different environments
• Strong interest in modern tools, with demonstrated experimentation and continuous learning
• Good judgment balancing speed, quality, risk, and security in an enterprise setting

Responsibilities

• Apply emerging technologies early and convert ideas into working solutions quickly, with pragmatic guardrails
• Build practical developer workflows hands-on using modern AI tools (IDE, code review, testing, documentation, and CI/CD touchpoints
• Contribute to transformation initiatives with clear outcomes, adoption targets, and success metrics
• Communicate progress and value to stakeholders using evidence, not anecdotes
• Ensure solutions align with security, safety, quality, and operational expectations, escalating gaps early
• Feed learnings back into standards and platform roadmaps (what to scale, what to stop, what to adjust)
• Partner with engineering teams to discover real needs, validate value, and shape solutions that can scale
• Support adoption of new approaches across engineering teams through enablement assets (examples, templates, playbooks, workshops, office hours)

Benefits

• A diverse and inclusive environment that embraces change, innovation, and collaboration
• A hybrid working model, allowing for in-office / work from home flexibility, generous vacation, personal and volunteer days
• Employee Resource Groups support an inclusive workplace for everyone and promote community engagement
• Competitive compensation packages including health and wellbeing benefits, retirement savings plans, parental leave, and family building benefits
• Educational resources, matching gift and volunteer programs

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees