# Lead Software Engineer- Gen AI, NLP, ML at Gartner

Gartner is hiring a Lead Software Engineer- Gen AI, NLP, ML in Chennai, India. Level rates it Builds AI ●●●●; you can [apply on Gartner](https://jobsbylevel.com/go/9f5eb9e9-f914-4def-abea-c0049bdec880?utm_medium=ai-agent).

AI Level 4, AI centrality 98 out of 100. Chennai.

## Details

- Company: [Gartner](https://jobsbylevel.com/companies/gartner)
- AI level: AI Level 4 (score 98 out of 100)
- Location: Chennai
- Posted: October 26, 2026
- Apply: https://jobsbylevel.com/go/9f5eb9e9-f914-4def-abea-c0049bdec880?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=lead-software-engineer-gen-ai-nlp-ml-at-gartner-c07948

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/lead-software-engineer-gen-ai-nlp-ml-at-gartner-c07948

## Description

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 technical field, including hands-on experience developing and evaluating AI solutions using NLP, deep learning, LLMs, retrieval, and agentic AI. Must Have A bachelor’s or master’s degree in Engineering, Data Science, Computer Science, or a related field is required. Hands-on experience developing and evaluating machine learning and NLP solutions, including transformer architectures, deep learning, embeddings, information retrieval, classification, ranking, summarization, question answering, and agent decision-making. Experience working with LLMs and foundation models, such as OpenAI, Anthropic, Cohere, Llama, or equivalent technologies. Experience building generative AI and agentic AI solutions using technologies such as LangChain, LangGraph, RAG, prompt engineering, MCP, or equivalent frameworks. Experience evaluating LLM and agent performance across accuracy, relevance, groundedness, helpfulness, safety, latency, and cost. Experience designing AI-focused guardrails and applying responsible AI practices, including hallucination mitigation, output validation, policy adherence, and human oversight. Demonstrated ability to identify emerging AI technologies and apply them to meaningful business use cases. Strong communication and collaboration skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders. Who You Are: You are passionate about applying AI and machine learning to solve complex business problems. You combine strong technical depth in algorithms, NLP, LLMs, retrieval, and agentic AI with practical business judgment. You can explain complex AI concepts clearly to technical and non-technical stakeholders. You take ownership of your work and collaborate effectively with product, data science, engineering, cloud, security, and platform teams. You are comfortable working through ambiguity and delivering solutions through short, iterative Agile development cycles. You are curious about emerging AI technologies and

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/lead-software-engineer-gen-ai-nlp-ml-at-gartner-c07948

Source: https://jobsbylevel.com/jobs/lead-software-engineer-gen-ai-nlp-ml-at-gartner-c07948

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Level. https://jobsbylevel.com/jobs/lead-software-engineer-gen-ai-nlp-ml-at-gartner-c07948.

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