The Hartford

IND Staff Software Engineer

India · Work style not stated · Full time

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About the role

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EmployerThe Hartford
LocationIndia
Work styleWork style not stated
Employment typeFull time
Employer posted16 Apr 2026

IND Staff Software Engineer - GCC011

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 Summary

The Senior AI Engineer willbe responsible fordesigning, building, and deploying Agentic AI solutions using Google ADK,LangGraph/Langchainand Agent Engine on GCP. This role requires deepexpertisein GenAI, hands-on experience with Vertex AI, and strong knowledge of GCP services such as Cloud Run, ECS, and Vertex AI Search Engine. The engineer will collaborate with cross-functional teams to deliver AI-driven solutions that align with enterprise architecture and businessobjectives.

Key Responsibilities

AI Solution Development and Delivery

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Design and implement Agentic AI solutions using Google ADK,LangGraph/Langchainand Agent Engine.

Build and deploy AImodelsleveragingVertex AI capabilities (e.g., Model Garden,AutoML, Generative AI APIs).

Integrate AI agents with enterprise applications and workflows for automation and decision-making.

Develop scalable and secure AI services using Cloud Run, ECS, and other GCP components.

OptimizeAI pipelines for performance, cost efficiency, and reliability.

Innovation and Strategy

Drive adoption of GenAI and Agentic AI frameworks across business units.

Conduct proof-of-concepts (POCs) for emerging AI technologies and frameworks.

Collaborate with enterprise architects to ensure AI solutions align with technology strategy and reference architectures.

Stay current with AI trends, frameworks, and best practices to propose innovative solutions.

Collaboration and Enablement

Work closely with data scientists, architects, and product teams to deliver AI-driven business capabilities.

Provide technical guidance and mentorship to junior engineers on AI development practices.

Document AI solution architectures, patterns, and reusable components.

Expected Results

Delivered production-grade Agentic AI solutions aligned with enterprise strategy.

Successfully integrated AI agents into business or technical workflows for automation and enhanced decision-making.

Improved operational efficiency and customer experience through AI-driven innovation.

Established reusable AI patterns and best practices for enterprise adoption.

Required Skills

Experience: 6–8 years in Software Engineering, with at least 2+ years in GenAI and Agentic AI development.

Project Delivery: Musthave deliveredat least one GenAI or Agentic AI project end-to-end.

Strongproficiencyin Google ADK,LangGraph/Langchain, Agent Engine, and Vertex AI.

Hands-on experience with GCP services: Cloud Run, ECS, Vertex AI Search Engine, IAM, and networking.

Solid understanding of GenAI patterns, LLM fine-tuning, and prompt engineering.

Programming Skills: Python, Java, or similar languages for AI development.

Strong problem-solving, communication, and collaboration skills.

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