Lead Engineer – GenAI, Agentic AI, and Knowledge Graph Architect

EXL; New York (NY); On-site; USD 140,000 - 220,000; Full time

Job summary

EXL is seeking a Lead Engineer for GenAI, Agentic AI, and Knowledge Graph Architect to design and deploy enterprise-scale intelligent systems. You will lead the architecture and implementation of agentic, reasoning-driven AI platforms and mentor a team of engineers across domains.

You will shape technical strategy, drive production-grade GenAI solutions grounded in Knowledge Graphs, and enable scalable AI deployments within the Digital AI R&D Innovation team at EXL.

Qualifications

• Strong expertise in Python, LLM-based systems, agentic frameworks, and knowledge-centric AI.
• Hands-on experience delivering production-grade GenAI or agentic solutions grounded using Knowledge Graphs.

Responsibilities

• Lead the architecture and implementation of agentic, reasoning-driven AI platforms.
• Mentor engineers and shape technical strategy across enterprise domains.
• Enable scalable AI solutions and deployments within the organization.

Skills

Python

LLM-based systems

Agentic frameworks

Knowledge Graphs

Job description

Lead Engineer – GenAI, Agentic AI, and Knowledge Graph Architect

We are seeking a Lead Engineer – GenAI, Agentic AI, and Knowledge Graph Architect to design, develop, and deploy enterprise‑scale intelligent systems that fuse Generative AI, autonomous agents, symbolic reasoning, and Knowledge Graphs.

The ideal candidate will bring strong expertise in Python, LLM‑based systems, agentic frameworks, and knowledge‑centric AI, with hands‑on experience delivering production‑grade GenAI or agentic solutions grounded using Knowledge Graphs.

As part of EXL’s Digital AI R&D Innovation team, you will lead the architecture and implementation of agentic, reasoning‑driven AI platforms, mentor engineers, shape technical strategy, and enable scalable AI solutions across multiple enterprise domains.