Applied AI Engineering Delivery Manager

We are looking for an experienced Applied AI Engineering Delivery Manager with 10 to 12 years of overall experience to lead the delivery of complex, large-scale technology programs that increasingly leverage AI and agentic tools.

What You Will Do

Manage the end-to-end lifecycle of large-scale application programs, oversee system upgrades, patches, and enhancements, and ensure seamless integration with related upstream and downstream systems.

Why It Might Be a Fit

This role requires a blend of strong program and people management skills, deep technical delivery experience, and fluent, responsible use of AI to accelerate delivery outcomes.

Requirements

• 10 to 12 years of consulting and/or industry experience in technology delivery or engineering management roles.
• Experience managing large-scale application programs supporting complex business processes and system integrations.
• Experience supporting clients in one or more of the following areas: system delivery, application modernization, data integration, or technology operations.
• Bachelor’s degree in Computer Science, Engineering, Business, or a related field.
• Experience managing mid-to-large size engagements or workstreams and leading multiple team members.
• Experience mentoring or leading multiple team members across cross-functional delivery teams.
• Hands-on exposure to AI-enabled software delivery, including use of GenAI or agentic tools for requirements analysis, code generation, testing, or documentation.
• Understanding of responsible AI practices, including guardrails for hallucination, bias, and drift, and the use of evaluation harnesses before and after deployment.
• Experience with modern agentic AI tools such as Claude Code, Claude Co-work, OpenAI Codex, Cursor, or Visual Studio Code is a plus.
• Ability to travel 0-20%, on average, based on the work you do and the clients and industries/sectors you serve.
• Ability to work independently and collaborate as part of a team.
• Effective written and verbal communication skills.
• Meticulous attention to detail and quality of work product.
• Ability to build and sustain professional relationships.
• Ability to lead projects or workstreams.
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment.
• Strong interpersonal skills and professional demeanor.
• Ability to meet deadlines.
• Ability to mentor and provide clear guidance to others.