About the role

Aplyr's Quick Take

This role is for a Senior AI Engineer focused on building and deploying AI solutions using Google Cloud technologies. You'll be designing systems that integrate AI into business processes, collaborating with various teams, and mentoring junior engineers. It's primarily an individual contributor role with a strong emphasis on technical expertise in AI and cloud services.

Good fit

Ideal candidates have 6-8 years of software engineering experience, particularly in AI and cloud technologies. A collaborative working style and a passion for innovation will help you thrive here.

Worth noting

The position emphasizes mentorship and collaboration, which is a plus for those looking to grow their leadership skills. However, the job's focus on specific technologies may limit flexibility for those with broader interests in AI.

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

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.

About Us | Our Culture | What It’s Like to Work Here

Aplyr's read

The Hartford is a prominent player in insurance, attracting professionals seeking roles in AI, litigation, and financial analysis within a supportive environment.
Synthesized from recent postings & public sources

What's promising

•The Hartford offers diverse roles, from AI engineering to litigation, appealing to a wide range of professionals.
•It has a strong reputation in the insurance sector, providing stability and growth opportunities.
•The company invests in technology, hiring for roles like Applied AI Data Scientist and Software Engineering Manager.

What to watch

•The insurance industry faces regulatory challenges that could impact The Hartford's operations.
•Competition from other insurers may pressure The Hartford to innovate continuously.
•Limited public information about the company's internal culture and employee satisfaction.

Why The Hartford

•The Hartford's focus on integrating AI into its operations sets it apart in the insurance industry.
•It offers specialized roles in niche areas like subrogation and complex litigation.
•The Hartford's commitment to hybrid work models appeals to tech professionals seeking flexibility.

Aplyr’s read is generated by AI from public sources. Was it useful?

About The Hartford

The Hartford

thehartford.com

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The Hartford is a leading insurance and financial services company that provides a wide range of products and services, including property and casualty insurance, group benefits, and mutual funds.