Lead Engineer – GenAI, Agentic AI, and Knowledge Graph Architect
Job Summary
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.
About the Role
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.
Responsibilities
- Design and implement agentic, reasoning-driven AI platforms
- Mentor engineers in the development of AI solutions
- Shape technical strategy for scalable AI solutions
- Enable the deployment of enterprise-scale intelligent systems
Requirements
- 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
Qualifications
- Bachelor's degree in Computer Science, Artificial Intelligence, or a related field
- 5+ years of relevant experience in AI and machine learning
- Experience with Generative AI, autonomous agents, symbolic reasoning, and Knowledge Graphs
Skills
- Python programming
- LLM-based systems
- Agentic frameworks
- Knowledge-centric AI
Benefits
- Competitive compensation package
- Flexible work schedule
- Professional development opportunities
- Work in a dynamic and innovative environment
Pay
TBD based on experience and qualifications
Schedule
Full-time, remote position
Benefits
- Health insurance
- Retirement plans
- Employee assistance programs