Enterprise Data Architect

At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform m large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges.

If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment.

Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at  and on Linked In, X, You Tube, and Facebook.

Inviting applications for the role of Enterprise Data Architect!

We are seeking a Senior Architect to provide thought leadership and hands‑on architecture guidance for the design and rollout of enterprise Data Agents, enabling business users to interact with core data (Borrowers, Investors, Facilities, Sponsors) through natural language, AI‑driven experiences.

• Data Agent Architecture: Define and validate the target architecture for Data Agents, covering data access patterns, governance, security, and scalability.
• Semantic Model Strategy: Evaluate and design the optimal semantic layer - entity representation, relationships, and business context - for Borrowers, Investors, Facilities, and Sponsors, establishing a trusted foundation for analytics and AI consumption.
• Hallucination Risk Mitigation: Explicitly define and govern cross-dataset relationships within the semantic layer (rather than relying on dynamic inference by the Data Agent) to improve response accuracy and trustworthiness.
• Implementation Guidance: Partner with the Enterprise Architecture team to guide design and build of the initial Data Agents (Phase
  1), and support planning for Phase 2 (Microsoft IQ, Graph capabilities, RLS, and cross-domain orchestration).

• Phase 1: Basic use‑case Data Agents for Borrowers, Investors, Facilities, Sponsors. Excludes RLS, multi‑agent orchestration, and cross‑domain capabilities.
• Phase 2: Introduction of Microsoft IQ and Graph capabilities for complex cross-domain scenarios, plus RLS implementation.

• Deep, demonstrated experience in semantic modeling and enterprise data architecture
• Strong background in AI‑powered data access and Data Agent design patterns
• Experience with modern data architectures (data governance, security, scalability at enterprise scale)
• Familiarity with Microsoft data/AI ecosystem (IQ, Graph) is a plus for Phase 2 alignment
• Ability to work directly with enterprise architecture stakeholders to shape strategy and execution

Work‑from‑Anywhere Roles - Los Angeles California-based candidates are not eligible for this role

Location-based Roles (e.g., Richardson roles - metro area can be adjusted by role location) - Los Angeles, California based candidates are not eligible for this role. area candidates are eligible for this role only.

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation.

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