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# AI Technical Program Manager

- **Company:** Purple Drive Technologies LLC
- **Location:** Atlanta, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Data Analysis, JIRA, Automation of Tests, Microsoft Azure, Cloud Engineering, Code Generation, Machine Learning, Project Management Software, Scrum Methodology, Systems Development Life Cycle, Release Management, Software Deployment, GitHub Copilot, Large Language Models, Prompt Engineering, Generative AI, Kubernetes, Data Management, Machine Learning Operations, Virtual Agents
- **Published:** August 19, 2026
- **Apply:** https://www.dice.com/job-detail/6a27f126-4a6c-4755-a5ca-9f7650d32918

## About the Role

10-14+ years of experience in Project Management, Program Management, Technology Delivery, or Digital Transformation.

Minimum 2+ years of experience delivering AI, Generative AI, Agentic AI, Data Science, Analytics, or Intelligent Automation projects.

Familiarity with AI-enabled SDLC tools such as GitHub Copilot, Claude Code, Antigravity, AI coding assistants, automated testing, and AI-driven project management tools.

Working knowledge of AI, Machine Learning (ML), Generative AI, Large Language Models (LLMs), AI agents, data platforms, APIs, and cloud-based AI services.

Understanding of LLMOps (optional MLOps), AI evaluation frameworks, model observability, and lifecycle management.

Familiarity with RAG architectures, vector databases, prompt engineering concepts, AI agents, and orchestration frameworks.

Knowledge of AI cost governance (AI FinOps), Responsible AI, Compliance, and enterprise AI operating models.

Proficiency with Jira, Azure DevOps, or similar project management platforms.

Proven track record delivering enterprise-scale technology initiatives involving multiple stakeholders and cross-functional teams.

Strong stakeholder management, communication, leadership, and problem-solving skills.

Experience with Agile, Scrum, or hybrid delivery methodologies.

## Description

Lead end-to-end delivery of AI, Generative AI, Analytics, and Intelligent Automation projects from initiation through production deployment.

Define project scope, schedules, budgets, resource plans, milestones, and success metrics.

Collaborate with business, product, data science, engineering, security, and operations teams to ensure successful outcomes.

Manage project risks, dependencies, issues, and stakeholder communications.

Drive adoption of AI-enabled project management practices, including AI-assisted planning, reporting, documentation, risk tracking, and productivity optimization.

Partner with technical teams to integrate AI capabilities throughout the SDLC, including requirements analysis, code generation, testing, documentation, and release planning.

Facilitate business workshops, governance reviews, status reporting, and executive steering committee meetings.

Coordinate user acceptance testing, deployment readiness, change management, and business adoption activities.

Ensure compliance with organizational governance, security, privacy, and Responsible AI requirements.

Driving organizational change and adoption for AI-enabled business processes.


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