Senior Data Science Lead - R01551331

Job title: Senior Data Science Lead - R01551331

About the Role

The Agentic AI Lead is a pivotal role responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges. This role involves hands-on experience with LangGraph, leading initiatives to build multi-agent AI systems that operate with greater autonomy, adaptability, and decision-making capabilities. The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be responsible for designing, scaling, and optimizing agentic AI workflows, ensuring alignment with business objectives while pushing the boundaries of next-gen AI automation.

What You'll Do

• Architecting & Scaling Agentic AI Solutions • Design and develop multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous problem-solving. • Build memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across multiple domains. • Define and implement scalable architectures for LLM-powered agents that seamlessly integrate with enterprise applications.
• Hands-On Development & Optimization • Develop and optimize agent orchestration workflows using LangGraph, ensuring high performance, modularity, and scalability. • Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) techniques for enhanced agent reasoning. • Apply reinforcement learning (RLHF/RLAIF) methodologies to fine-tune AI agents for improved decision-making.
• Driving AI Innovation & Research • Lead cutting-edge AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents. • Stay ahead of advancements in multi-agent systems, AI planning, and goal-directed behavior, applying best practices to enterprise AI solutions. • Prototype and experiment with self-learning AI agents, enabling autonomous adaptation based on real-time feedback loops.
• AI Strategy & Business Impact • Translate Agentic AI capabilities into enterprise solutions, driving automation, operational efficiency, and cost savings. • Lead Agentic AI proof-of-concept (PoC) projects that demonstrate tangible business impact and scale successful prototypes into production.
• Mentorship & Capability Building • Lead and mentor a team of AI Engineers and Data Scientists, fostering deep technical expertise in LangGraph and multi-agent architectures. • Establish best practices for model evaluation, responsible AI, and real-world deployment of autonomous AI agents.

What We're Looking For

• Deep expertise in LangGraph and multi-agent architectures, LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and self-improving AI agents.
• Proven ability to design, scale, and optimize agentic AI workflows aligned with business objectives and enterprise deployments.
• Hands-on experience with memory-augmented agents, vector databases (Pinecone, Weaviate, FAISS), retrieval-augmented generation.
• Experience with AI planning, goal-directed behavior, and staying ahead of advances in multi-agent AI.
• Strong leadership and mentorship skills; ability to build and guide a team of AI Engineers and Data Scientists.
• Familiarity with enterprise AI integration and PoC-to-production transitions.

Nice to Have

• Experience with LangGraph, LLM orchestration, knowledge graphs, and self-learning AI agents.
• Experience with self-improving AI agents and real-time feedback loops.
• Proficiency with relevant tools and platforms: LangGraph, vector databases, RAG frameworks, RLHF/RLAIF.