IND Lead Software Engineer

IND Lead Software Engineer - GCC093 We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future. Position Overview We are seeking an AI/ML Engineer who will be responsible for architecting, building and deploying production-grade AI systems This is a highly hands-on role requiring deep expertise in ML engineering, MLOps, LLM architecture, and Generative/Agentic AI concepts and tooling exposure.

This role is well-suited for someone who brings intellectual curiosity, a bias toward action, and a collaborative mindset, and who is looking to deepen their AI/ML engineering expertise while taking on increasing responsibility over time________________________________________ Key Responsibilities •    Design and implement production-grade AI/ML and Agentic AI solutions that drive end-to-end transformation across pricing, underwriting, and sales.

•    Partner with Cloud, AIOps, Data Science, LOB IT, Enterprise Architecture, and Data teams to provision infrastructure, deploy services, and operate scalable AI platforms using modern DevOps practices. •    Leverage AI Platform, agent development standards, and agent frameworks to build, deploy, monitor and maintain agentic solutions & AI/ML pipelines. •    Architect and build highly available, scalable, secure, and fault-tolerant AI/ML systems, applying modern distributed system patterns such as event-driven, pub/sub, and point-to-point architectures.

•    Design and implement agent memory, evaluation, and feedback mechanisms to enable quality, safety, and reliability-driven tuning and continuous improvement. •    Develop advanced context engineering, adaptive prompting, multi-agent coordination, and RAG/Agentic RAG systems using techniques such as HyDE, RAPTOR, and GraphRAG to improve accuracy and relevance. •    Write high-quality, production-ready Python (e.g., asyncio, FastAPI, Pydantic) and instrument AI observability using OpenTelemetry, offline evaluation, and drift monitoring, while leveraging enterprise AI platforms and standards.

________________________________________ Required Skills & Experience:  Experience Range - 4 to 6 Years •    Bachelor’s or Master’s degree in computer science  , Software Engineering, Data Science, or a closely related discipline. •    Professional experience in ML, Software Engineering, or a related role, including 3+ years delivering AI/ML solutions in production. •    Strong Python development experience, building and operating production services and APIs.

Generative AI & Agentic Systems  •    Experience developing full-stack agentic solutions using agent frameworks such as ADK, A2A, MCP, LangChain, LangGraph, or CrewAI, and familiarity with commercial and open-source foundation models. •    Experience building and operating advanced RAG and Agentic RAG systems using modern techniques and methodologies. •    Experience with agentic monitoring, observability, and model evaluation frameworks to assess quality, safety, and performance in production.

ML, Platforms & Cloud  •    Hands-on experience with ML and AI frameworks such as PyTorch, Hugging Face, Pandas, NumPy, and related libraries. •    Hands-on experience with at least one public cloud AI/GenAI platform (e.g., AWS SageMaker/Bedrock or Google Vertex AI, Vertex AI Search, and RAG Engine). Software Engineering, DevOps & Security  •    Experience designing and delivering production-grade APIs and microservices using modern software engineering practices.

•    Hands-on experience with DevOps and CI/CD pipelines, infrastructure as code (e.g., Terraform), GitHub collaboration, and cloud deployments. •    Experience with DevSecOps tools such as Nexus, SonarQube, Checkmarx, and mcp-scan. Ways of Working & Communication  •    Experience working in