IND Staff Software Engineer
May 13, 2026 Hyderabad, India
About us
We focus on innovation, inclusion, equity and flexibility – and are committed to giving our employees what they need to achieve amazing things.
- Size: 10,000+ employees
- Industry: Insurance: Property & Casualty
Why you should apply for a job to The Hartford:
Ranked as one of the Best Companies Where CEOs Support Gender Diversity in 2022
4.5/5 in overall job satisfaction
4.5/5 in supportive management
76% say women are treated fairly and equally to men
87% would recommend this company to other women
90% say the CEO supports gender diversity
Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›
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 will be responsible for designing, building, and deploying Agentic AI solutions using Google ADK, LangGraph / Langchain and Agent Engine on GCP. This role requires deep expertise in 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 business objectives .
Key Responsibilities
AI Solution Development and Delivery
Collaboration and Enablement
Expected Results
Required Skills
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 will be responsible for designing, building, and deploying Agentic AI solutions using Google ADK, LangGraph / Langchain and Agent Engine on GCP. This role requires deep expertise in 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 business objectives .
Key Responsibilities
AI Solution Development and Delivery
- Design and implement Agentic AI solutions using Google ADK, LangGraph / Langchain and Agent Engine.
- Build and deploy AI models leveraging Vertex 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.
- Optimize AI 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: Must have delivered at least one GenAI or Agentic AI project end-to-end.
- Strong proficiency in 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.
Additional Information
- Posted: May 13, 2026