Applied AI Engineering Delivery Manager

We are seeking an experienced Applied AI Engineering Delivery Manager with 10–12 years of technology delivery or engineering management experience to lead complex, large-scale application and technology programs. The ideal candidate will have strong experience in program delivery, application modernization, system integrations, Agile/DevOps, team leadership, and AI-enabled software delivery.

Main Skills & Experience Required

• 10–12 years of experience in technology delivery, program management, engineering management, or consulting.
• Experience managing large-scale application programs and complex technology initiatives.
• Strong experience with application modernization, system transformation, data integration, and technology operations.
• Experience managing mid-to-large engagements, budgets, timelines, risks, issues, dependencies, and SLAs.
• Strong experience leading cross-functional technology teams and mentoring developers, analysts, and support teams.
• Experience with Agile, DevOps, CI/CD, continuous delivery, and application support.
• Experience managing upstream/downstream system integrations and external/partner data exchanges.
• Hands-on exposure to AI-enabled software delivery and Generative AI.
• Experience using AI/GenAI for requirements analysis, code generation, testing, documentation, reporting, risk analysis, or root-cause analysis.
• Understanding of Agentic AI, AI governance, responsible AI, AI guardrails, human-in-the-loop review, and AI evaluation.
• Exposure to modern AI tools such as Claude Code, Claude Co-work, GitHub Copilot, OpenAI Codex, Cursor, or Visual Studio Code is preferred.
• Strong stakeholder management and ability to communicate between business and technical teams.
• Excellent problem-solving, communication, leadership, and organizational skills.

Key Responsibilities

• Manage the end-to-end delivery of large-scale application and technology programs.
• Develop project plans, timelines, budgets, resource plans, and delivery strategies.
• Lead application modernization and system transformation initiatives.
• Coordinate integrations across upstream, downstream, internal, and external systems.
• Manage project risks, issues, dependencies, SLAs, and delivery performance.
• Partner with business stakeholders to gather requirements and translate them into technology solutions.
• Lead and mentor cross-functional engineering, development, analyst, and support teams.
• Drive Agile/DevOps and continuous delivery practices.
• Leverage AI and agentic tools to improve planning, estimation, reporting, testing, documentation, and delivery efficiency.
• Monitor application performance, reliability, scalability, and production support.
• Use AI-assisted tools for incident management and root-cause analysis.
• Establish responsible AI practices, including guardrails, evaluation, human review, and escalation processes.
• Evaluate and pilot emerging AI/agentic engineering tools to improve delivery speed, quality, and cost efficiency.
• Drive continuous improvement across the technology delivery lifecycle.

Education

* Bachelor's degree in Computer Science, Engineering, Business, or related field.

Pay: $70.00 - $75.00 per hour

Expected hours: 40.0 per week

Experience

• AI Engineering Management: 3 years (Required)
• Technology Delivery Management: 3 years (Required)
• Agentic AI: 3 years (Required)
• OpenAI Codex: 2 years (Required)

Work Location: Hybrid remote in Tampa, FL 33602