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EXL

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

EXL

Location
Hybrid (New York, United States)
Compensation
$140k - $200k/yr
Employment
Full-time
Level
Senior Level
Posted 2 days ago

About the Role

EXL is seeking a Lead Engineer to design and deploy enterprise-scale intelligent systems that fuse Generative AI, autonomous agents, and Knowledge Graphs. This role involves leading architecture, mentoring engineers, and shaping technical strategy for reasoning-driven AI platforms within the Digital AI R&D Innovation team.

Skills

Python Generative AI Agentic AI Knowledge Graphs LLMs Prompt Engineering Cypher SPARQL Gremlin RDF OWL Ontology Modeling LangGraph AutoGen LangChain MLOps

Full job details

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.