Lead GenAI, Agentic AI & Knowledge Graph Architect

EXL; United States; On-site; USD 100,000 - 160,000; Full time

Job summary

EXL seeks a Lead Engineer to design, develop, and deploy enterprise-scale intelligent systems blending Generative AI, autonomous agents, symbolic reasoning, and Knowledge Graphs. You will lead architecture across agentic AI platforms, mentor engineers, and drive scalable AI solutions for multiple domains.

The role requires Python, LLMs, and knowledge-graph expertise, with production deployments and a focus on governance, observability, and security.

Qualifications

• Bachelor’s or master’s degree in CS/AI/DS/ML.
• 5+ years in AI/ML, Data Science, or advanced software engineering.
• 5+ years hands-on Python with strong software engineering practices.
• 3+ years of Generative AI or Agentic AI systems, including production deployments.
• Hands-on experience with LLMs, prompt engineering, and model integration.
• Practical experience with Knowledge Graph design and implementation.
• Proficiency in graph query languages such as Cypher, SPARQL, or Gremlin.
• Experience with Semantic Web technologies and standards (RDF/OWL/SPARQL).
• Proven experience deploying production-grade AI systems with scalability and reliability.
• Understanding of data pipelines, ETL, and data modeling.

Responsibilities

• Architect neuro-symbolic AI solutions combining LLMs, multimodal models, and symbolic reasoning.
• Design and implement enterprise knowledge graph architectures and data models.
• Develop and optimize graph queries and traversal patterns (Cypher, SPARQL, Gremlin).
• Lead the design and implementation of agentic AI systems and multi-agent orchestration.
• Deploy and maintain GenAI/Agentic AI solutions in production with reliability and security.
• Collaborate with cross-functional teams across banking, insurance, and healthcare domains.
• Provide technical leadership and mentorship to AI and platform engineers.
• Ensure governance, observability, and robustness of AI systems.

Skills

Python

LLM-based systems

Agentic frameworks

Knowledge-centric AI

Production deployments

Generative AI

Enterprise AI platforms

Education

Bachelor’s or Master’s degree in Computer Science / AI / Data Science / ML

Tools

Neo4j

Amazon Neptune

Stardog

GraphDB

TigerGraph

JanusGraph

ArangoDB

Job description

EXL seeks a Lead Engineer to design, develop, and deploy enterprise-scale intelligent systems blending Generative AI, autonomous agents, symbolic reasoning, and Knowledge Graphs. You will lead architecture across agentic AI platforms, mentor engineers, and drive scalable AI solutions for multiple domains.

The role requires Python, LLMs, and knowledge-graph expertise, with production deployments and a focus on governance, observability, and security.