While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.


If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

About Quantiphi:

Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations.

Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology’s sake.

Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc.

As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact.

Our industry recognition includes:

• 21x Google Cloud Partner of the Year awards in the last 8 years.
• 3x AWS AI/ML award wins.
• 3x NVIDIA Partner of the Year titles.
• 2x Snowflake Partner of the Year awards.
• Top analyst recognitions from Gartner, ISG, and Everest Group.
• Consecutive certifications as a Great Place to Work.

Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation.

Your next big opportunity starts here!

Work Location: USA - Chicago

Experience Level: 10 to 12 years

Type: Full time

Role:

We are seeking a seasoned, strategic, and technically adept Product Owner to shape and drive our AI/ML innovation roadmap, with a dedicated focus on building state-of-the-art AI Agentic systems.

In this role, you will bridge the gap between cutting-edge AI research and scalable enterprise execution. You will translate frontier AI concepts—such as Large Language Models (LLMs), Agent Development Frameworks (ADK), Claude Skills, Retrieval-Augmented Generation (RAG), and Knowledge Graphs—into structured, high-impact product requirements. Working within a SAFe Agile framework, you will collaborate with research scientists, data engineers, cloud architects, and executive stakeholders to advance concepts from initial Proof of Concept (POC) to production-grade deployment on cloud-native infrastructure.

Responsibilities:

• Define, articulate, and execute the product vision and roadmap for next-generation AI/ML initiatives, prioritizing high-leverage agentic architectures and autonomous workflows.
• Manage and prioritize the innovation and research backlog, balancing experimental risk, technical viability, and tangible business impact.
• Continuously evaluate breakthroughs across the generative AI ecosystem to identify opportunities for integration into the core product suite.
• Deconstruct complex AI/ML paradigms—including agent tool-use, RAG pipelines, Knowledge Graph embeddings, and multi-agent coordination—into clear user stories, acceptance criteria, and technical specifications.
• Partner closely with system architects and software engineers to ensure experimental architectures are built for scalability, resilience, and security within Google Cloud Platform (GCP) and Kubernetes (GKE).
• Support modern deployment patterns and iterative testing loops by leveraging automated CI/CD practices with GitHub Actions.
• Shepherd innovation initiatives across the entire lifecycle: from hypothesis formation, exploratory research, and POC validation through to hardening, production rollout, and adoption.
• Establish evaluation frameworks, benchmarks, and key performance indicators (KPIs) to measure model reliability, agent task completion, cost efficiency, and end-user impact.
• Gather quantitative feedback and qualitative operational insights to iterate on prototypes or graduate successful experiments into core product offerings.
• Act as the central connective tissue between AI researchers, core engineering, operations, and commercial leaders within a Scaled Agile Framework (SAFe).
• Map and navigate complex application landscapes, user workflows, data dependencies, and cross-team ownership structures to eliminate delivery roadblocks.

Skills Required:

• 10–12 years of overall professional experience, with substantial tenure as a Product Owner, Technical Product Manager, or Product Lead guiding advanced technical or data-centric products.
• Demonstrated conceptual and practical mastery of modern AI ecosystems, including Generative AI, LLMs, AI Agentic workflows, Agent Development Kits (ADKs), Claude Skills, RAG pipelines, vector search, and Knowledge Graph integration.
• Hands-on experience operating within Scaled Agile (SAFe) environments, running backlog grooming, sprint planning, PI planning, and dependency management for cross-functional teams.
• Solid understanding of cloud-native infrastructure, specifically Google Cloud Platform (GCP) and container orchestration with Kubernetes, along with familiarity with GitHub Actions for CI/CD automation.
• Ability to actively engage in architectural discussions regarding data pipelines, API contracts, latency budgets, agent orchestrators, and model inference scaling.
• Proven track record of translating high-level executive strategy and complex data science research into actionable epics, features, and stories for cross-functional execution.

What is in it for you:

• Be part of the fastest-growing AI-first digital transformation and engineering company in the world
• Be a part of an energetic team of highly dynamic and talented individuals
• Exposure to working with fortune 500 companies and innovative market disruptors
• Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud