Senior Gen AI Engineering Manager [T500-21144]

About us :

We are a highly successful 190-year-old, Fortune 500 commercial property insurance company of 6,000+ employees with a unique focus on science and risk engineering. Businesses worldwide trust our expertise to protect their assets, relying on our comprehensive risk assessments and robust, engineering-based insurance solutions to safeguard against fire, natural disasters, and other perils. Serving over a quarter of the Fortune 500 and major corporations globally, we deliver data-driven strategies that enhance resilience, ensure business continuity, and empower organizations to thrive.

FM India is a strategic location for driving our global operational efficiency. Our presence in India allows us to leverage the country’s talented workforce and advance our capabilities to serve our clients better. We have diverse corporate functions that emphasize research, advanced technologies like AI and analytics, risk engineering, research, finance, marketing, HR, etc. working together to provide innovative solutions and nurture lasting relationships – from co-workers to clients.

Role Title : Senior Gen AI Engineering Manager

Position Summary :

Leads a team of Generative AI engineers, GenAIOps Engineers and Data Scientists in the hands-on design, development, deployment, and operationalization of advanced Generative AI solutions. Translates strategic AI objectives into actionable, high-impact initiatives that drive business value. Ensures the design, architecture, and implementation of scalable GenAI applications using leading LLMs (e.g., OpenAI, Gemini, Llama) and multi-modal models within Azure and other cloud platforms, while fostering a culture of innovation, technical excellence, and ethical AI practices. This position emphasizes technical leadership, solution delivery, and team management. Oversees end-to-end project execution, ensures robust and production-ready AI systems, and mentors team members to build technical depth. By aligning with enterprise architecture and collaborating with cross functional stakeholders, this role drives the adoption of cutting-edge GenAI technologies and supports the broader goals of the Innovation Analytics & AI team.

Job Responsibilities :

• Technical Leadership & Solution Delivery : Leads the strategy, design, and implementation of scalable Generative AI solutions using LLMs (e.g., OpenAI, Gemini, Llama2, GPT-4), multi-modal models, and tools like Promptflow, Azure AI Search, LangChain, Semantic Kernel, and Vector DBs. Oversees the development of robust data pipelines and Retrieval Augmented Generation (RAG) workflows, ensuring performance, scalability, and ethical compliance through rigorous testing (ground truth, contextual accuracy, semantic similarity, bias detection, hallucination analysis, benchmarking). Reviews technical designs and architectures for alignment with business needs and enterprise standards, ensuring production-ready deployments using Kubernetes, Terraform, and CI / CD pipelines.
• Team Management & Development : Manages a team of GenAI engineers and data scientists, providing mentorship, performance evaluations, and career development guidance. Fosters a collaborative, innovative, and inclusive team culture focused on continuous learning and technical excellence. Supports onboarding, sets clear objectives, and builds team capabilities in GenAI tools, prompt engineering, and model optimization. Encourages experimentation with emerging technologies to drive innovation.
• Project Execution & Stakeholder Collaboration : Translates strategic AI priorities into actionable project plans with clear milestones, timelines, and deliverables. Collaborates with Solution Architects, product owners, and business stakeholders to ensure alignment, transparency, and impact of GenAI solutions. Provides regular updates on project progress, risks, and outcomes to senior management. Ensures seamless integration of GenAI solutions with enterprise architecture and data platforms.
• Innovation & Technical Expertise : Evaluates emerging GenAI technologies, frameworks, and methodologies to enhance organizational AI capabilities. Contributes to the development of reusable GenAI assets, model catalogs, and standards to improve solution delivery. Acts as a subject matter expert in GenAI, leading internal learning forums and promoting the adoption of innovative tools and practices. Stays current with industry trends to maintain a competitive edge.

Skill and Experience :

Must Have Skills :

Education and Certifications :

Work location : Bengaluru