AI Technical Program Manager

Ascii Group, LLC

Atlanta, GA, United States

2 days ago

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Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

2 years minimum

Compensation

$125,840.0

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services Data Analysis JIRA Automation of Tests Microsoft Azure Cloud Computing PRINCE2 Scrum Methodology Systems Development Life Cycle

+11 more

Release Management Software Deployment Software Engineering Google Cloud GitHub Copilot Prompt Engineering Generative AI AI Platforms Machine Learning Operations Virtual Agents ServiceNow Customer Service Management

Job description

Seeking a 10-14+ years experienced AI Technical Program Manager for a 100% on-site role in Atlanta, GA supporting client deliverables. The ideal candidate will possess 10+ years of overall project/program management expertise, with at least 2+ years specifically leading and delivering AI, Generative AI, Agentic AI, Analytics, or Intelligent Automation initiatives. This role bridges business and technical teams, overseeing end-to-end delivery from scope definition to production deployment. Key duties involve driving AI-assisted project management practices, integrating AI capabilities across the SDLC (e.g., GitHub Copilot, Claude Code), managing LLMOps/Responsible AI governance, and directing cross-functional teams in an Agile environment., * End-to-End AI Program Delivery: Lead initiation, planning, execution, and release management of enterprise AI, GenAI, and Intelligent Automation projects.

Agile Governance & Stakeholder Management: Define schedules, budgets, risk profiles, and milestones; facilitate executive steering committee reviews, workshops, and status reporting.
AI-Enabled SDLC Integration: Drive integration of AI coding assistants, automated testing tools, and AI-assisted project management frameworks throughout the software development lifecycle.
Responsible AI & Governance: Enforce enterprise AI governance, Responsible AI standards, AI FinOps (cost governance), data privacy, and model risk management.
Organizational Change & Adoption: Coordinate user acceptance testing (UAT), deployment readiness, and change management strategies to ensure business adoption of AI-driven tools.

Requirements

Core Experience: 10-14+ Years in Technical Program/Project Management; minimum 2+ years delivering AI/GenAI/Data Science projects.
AI & Technical Stack: Generative AI, LLMOps/MLOps, RAG Architectures, Vector Databases, Prompt Engineering, AI Agents, APIs, Cloud AI services.
AI SDLC Tools: GitHub Copilot, Claude Code, AI coding assistants, automated testing, AI-driven project tracking platforms.
Methodologies & Delivery: Agile, Scrum, SAFe, Jira, Azure DevOps, Risk & Dependency Management.
Governance & FinOps: AI Cost Governance (AI FinOps), Responsible AI, Data Privacy, Model Risk Management., * Certifications: PMP, PMI-ACP, CSM, or SAFe.
Hyperscaler Experience: Hands-on familiarity with AWS, Azure, or Google Cloud Platform AI services.
Domain Background: Experience within Banking, Financial Services, Payments, or FinTech environments.