AI Technical Project Manager

<>Location: Austin, TX
Work Model: Onsite – 5 days/week
Position Type: Contract
Role: AI Technical Project Manager / AI Program Manager

Job Summary

We are seeking an experienced AI Technical Project Manager to lead the planning, execution, and delivery of enterprise AI/ML and Generative AI initiatives for one of our Clients

The ideal candidate will have strong experience managing complex technology projects involving Artificial Intelligence, Machine Learning, Generative AI, LLMs, data platforms, and cloud technologies. This person will work closely with engineering, data science, product, architecture, business, risk, security, and executive stakeholders to ensure AI initiatives are delivered on time, within scope, and aligned with business objectives.

This is a fully onsite role in Austin, TX, requiring strong communication, stakeholder-management, and technical project leadership skills.

Key Responsibilities

• Lead end-to-end delivery of complex AI/ML and Generative AI projects from initiation through production deployment.
• Develop project plans, timelines, milestones, dependencies, resource plans, and delivery roadmaps.
• Partner with AI/ML engineers, data scientists, software engineers, architects, product managers, and business stakeholders.
• Translate business objectives into clear technical project requirements and executable delivery plans.
• Manage multiple workstreams across AI, data, cloud, application development, and platform engineering teams.
• Track project scope, schedule, budget, risks, issues, dependencies, and overall delivery status.
• Establish project governance, reporting, RAID logs, status reporting, and executive-level communications.
• Identify project risks and blockers early and drive appropriate mitigation and resolution.
• Coordinate Agile ceremonies including sprint planning, backlog refinement, standups, demos, and retrospectives where applicable.
• Work with Product Owners and Engineering Leads to prioritize deliverables and manage dependencies.
• Coordinate AI model development, data preparation, experimentation, validation, deployment, and production rollout activities.
• Help manage projects involving LLMs, GenAI applications, RAG, AI agents, predictive analytics, ML models, and AI-enabled applications.
• Coordinate with security, privacy, compliance, legal, risk, and governance teams for responsible AI delivery.
• Ensure project deliverables meet enterprise technology, security, regulatory, and governance requirements.
• Communicate complex technical concepts clearly to both technical and non-technical stakeholders.
• Prepare executive presentations, project dashboards, status reports, and delivery metrics.
• Drive cross-functional teams toward successful project completion and measurable business outcomes.

Required Qualifications

• 8+ years of experience in IT Project Management / Technical Program Management.
• 3+ years of experience managing AI/ML, Data Science, Generative AI, or advanced analytics projects.
• Proven experience managing complex technology initiatives involving multiple engineering and business teams.
• Strong understanding of AI/ML and Generative AI concepts.
• Experience with LLMs, GenAI, RAG, AI/ML models, or AI-powered applications.
• Strong knowledge of Agile/Scrum methodologies.
• Experience managing project schedules, milestones, dependencies, risks, issues, and budgets.
• Strong stakeholder management and executive communication skills.
• Experience working with engineering, data, cloud, and architecture teams.
• Strong understanding of SDLC and enterprise software delivery.
• Excellent written and verbal communication skills.
• Strong analytical, organizational, and problem-solving skills.
• Ability to work effectively in a highly collaborative onsite environment.

Preferred Qualifications

• Experience within Financial Services, Banking, Brokerage, Wealth Management, or FinTech.
• Experience delivering AI solutions in a highly regulated enterprise environment.
• Experience with Responsible AI, AI governance, model risk, data privacy, or security.
• PMP, PMI-ACP, CSM, SAFe, or similar certification.
• Experience working with senior executives and enterprise technology leadership.
• Experience managing large-scale transformation or modernization programs.
• Experience with cloud-based AI/ML platforms.