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EXL

engineering opportunity

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

You will design, develop, and deploy enterprise-scale intelligent systems that integrate Generative AI, autonomous agents, and Knowledge Graphs. Additionally, you will lead technical strategy, mentor engineering teams, and ensure the scalability of AI solutions across enterprise domains.

New York, New York, United StateshybridFULL_TIME

Posted

About the role

What will you do at EXL?

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.

Which skills does this role require?

PythonGenerative AIAgentic AIKnowledge GraphsLLMsPrompt EngineeringCypherSPARQLGremlinRDFOWLOntology ModelingLangGraphAutoGenLangChainNeuro-symbolic AIGenAIKnowledge GraphLLMMachine LearningData ScienceArtificial IntelligenceSemantic WebETLData ModelingMLOpsCI/CDGraph Data ScienceReasoning EnginesEnterprise AISoftware EngineeringR&DScalabilityReliabilityOntology

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Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.

Review the responsibilities and requirements before adding an opening to your shortlist.

Role information can change. Confirm current details on the original application page.

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