About this role:Lead Software Engineer – Generative and Agentic AI will design and develop algorithms and AI applications that support our Consulting & Insights Technology strategy, with a focus on generative AI and agentic AI.What You’ll Do:Design and develop algorithms and AI solutions using LLMs, NLP, deep learning, generative AI, information retrieval, and feedback-based techniques for agentic AI, knowledge retrieval, summarization, RAG, and related applications.Design agent architectures, including planning, tool use, memory, orchestration, multi-step reasoning, feedback loops, and execution control.Develop data-processing and representation techniques that transform unstructured text and other data into structured formats for modeling, retrieval, and analysis.Build evaluation frameworks and benchmarks to assess LLM and agent performance across accuracy, relevance, groundedness, helpfulness, safety, latency, and cost.Optimize model performance through prompt engineering, retrieval optimization, reranking, embedding techniques, model selection, and fine-tuning.Design AI-focused guardrails and mitigation approaches, including input and output validation, hallucination mitigation, policy adherence, responsible AI practices, and human-in-the-loop review, in collaboration with security and platform teams.Apply NLP, machine learning, statistical analysis, and information retrieval techniques to identify patterns, relationships, and insights in complex data.Translate business requirements into applied AI approaches, algorithm designs, experiments, and measurable outcomes.Stay current with emerging LLM architectures, foundation models, agent frameworks, retrieval techniques, and AI research.Lead technical discussions and mentor team members on algorithms, modeling approaches, experimentation, and AI best practices.What You’ll Need:6–8 years of professional experience in applied AI/ML, data science, machine learning, algorithms, statistics, or a related tech
