Technical Program Manager

About Quantiphi:

Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients.

Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries.

Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters.

We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including:

• 21 Google Cloud Partner of the Year awards in the past 10 years
• 3 AWS AI/ML Partner of the Year awards
• 3 NVIDIA Partner of the Year awards
• 3 Snowflake Partner of the Year awards
• Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms

Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators.

We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture.

For more details, visit: Website or LinkedIn Page

Role: Technical Program Manager

Experience Level: 10 years

Employment type: Full Time

Location: Dallas, TX (Hybrid)

Description:

• We are seeking an experienced and strategic Technical Program Manager (TPM) to lead our AI Governance initiatives.
• This role is critical for ensuring our enterprise-grade Agentic AI projects are developed and deployed responsibly, with robust systems for continuous evaluation, monitoring, and observability.

What you will do:

• AI Governance & Strategy: Define and drive the program roadmap for AI Governance, establishing frameworks and best practices for responsible AI, continuous evaluation, and monitoring specifically for enterprise-scale Agentic AI systems.
• Program Execution: Lead production-grade enterprise Agentic AI projects from conception to launch, ensuring on-time delivery, scope adherence, and proactive risk mitigation across globally distributed teams.
• Agent Monitoring & Evaluation: Implement and manage systems for Agent Monitoring & Observability and Agentic Evaluations. Develop and track Key Performance Indicators (KPIs) and Service Level Agreements (SLAs) to ensure AI solutions are performing safely, ethically, and effectively.
• Continuous Improvement: Champion and manage the "Flywheel approach" to continuously improve AI agent performance through data-driven feedback loops and iterative enhancements.
• Stakeholder Management: Act as a trusted advisor and the primary point of contact for enterprise clients. Manage stakeholder relationships, set clear expectations, and translate complex AI governance concepts into business impact using excellent presentation and storytelling skills.
• Team Leadership: Lead and coordinate cross-functional, globally distributed (onshore & offshore) teams, including ML engineers, software engineers, and data scientists, to ensure seamless and effective AI execution.
• Technical Oversight: Guide teams on AI pipeline automation, Machine Learning Operations/Large Language Model Operations (MLOps/LLOps) best practices, and Continuous Integration/Continuous Deployment (CI/CD) for ML models. Oversee model deployment on cloud platforms like Google Cloud Platform (GCP) and Amazon Web Services (AWS), ensuring scalability, security, and cost optimization.
• Agile & Reporting: Facilitate Agile ceremonies and maintain clear technical documentation, backlogs, and sprint reports using tools like Jira.

Basic Qualifications (BQs):

• Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or a related technical field.
• 10 years of experience in technical program management, with a proven track record of leading large-scale, production-grade enterprise AI projects from concept to deployment.
• AI Governance & Agentic AI: Direct experience in establishing AI Governance frameworks, with hands-on expertise in Agent Monitoring & Observability, and Agentic Evaluations.
• Program & Delivery Management: Strong program management skills with expertise in managing both offshore and onshore delivery teams. Proficiency in Agile methodologies and project management tools like Jira for tracking and backlog management.
• Stakeholder & Communication Skills: Exceptional client stakeholder relationship management abilities. World-class presentation and storytelling skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
• Generative AI Expertise: Experience with Generative AI technologies, including Large Language Model (LLM) fine-tuning, LLM optimization, inference optimization, and Retrieval-Augmented Generation (RAG).
• Technical & Cloud Proficiency: Strong understanding of MLOps/LLOps concepts, AI/ML infrastructure (training & inference), and cloud platforms, specifically GCP & AWS.
• Execution & Planning: Experience leveraging AI tools for program planning and execution to enhance efficiency.

Other Qualifications (OQs):

• Prior experience in establishing an AI Center of Excellence (CoE).
• Professional certification such as Project Management Professional (PMP) or Certified Scrum Master (CSM).
• Experience managing budgets, contracts, and vendor relationships for AI/ML projects.

What is in it for you:

• Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale.
• Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges.
• Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60 patents.
• Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.