Sr AI Engineer - Platform Engineering

The Hartford; Hartford (CT); Hybrid; USD 128,000 - 191,000; Full time

Job summary

The Hartford in Hartford, CT is seeking a Senior Staff Software Engineer to design and deliver production‑grade Agentic AI systems using Google ADK, LangGraph, LangChain, and MCP protocols. You will build secure, scalable AI platform capabilities with Python/Typescript, Terraform, and GCP, enabling enterprise adoption of AI.

This hybrid role requires 6–8 years in software engineering with 2+ years in GenAI and proven delivery of at least one production AI system; base pay ranges from $127,600 to

Qualifications

• Experience 6–8 years in software engineering, including 2+ years in GenAI, multi-agent, or LLM systems.
• Proven delivery of at least one production‑grade AI or Agentic system, preferably involving RAG or GraphRAG.
• Strong fundamentals in Python and/or TypeScript, with cloud and security awareness.

Responsibilities

• Design and implement Agentic AI solutions using Google ADK, LangGraph, LangChain, and Agent Engine.
• Build agent harnesses, orchestration, memory storage, session state management, and guardrails.
• Develop scalable AI microservices using Python/Typescript, Cloud Run, Vertex AI, and Terraform.
• Ensure security, governance, and compliance across enterprise AI platforms.

Skills

Python

TypeScript

GCP

Agentic AI

LangChain

LangGraph

Terraform

PostgreSQL

Memory/Session management

Security

Education

Bachelor’s or Master’s in Computer Science, Engineering, or related field

Tools

Google ADK

LangChain

LangGraph

LangSmith

MCP

Vertex AI

AlloyDB

PostgreSQL/RDS

Terraform

Cloud Run

Job description

Senior Staff Software Engineer - IE07HE 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. This requisition hires Senior AI Engineers who will: Design and deliver production‑grade Agentic AI systems using Google ADK, Anthropic MCP, LangGraph/LangChain, and modern Agentic protocols. Build secure, scalable AI platform capabilities with strong engineering fundamentals in Python/Typescript, Terraform, and GCP. Enable enterprise adoption of AI by creating reusable frameworks, APIs, and platform capabilities aligned with engineering standards, compliance needs, and modern cloud patterns.

Responsibilities

AI/Agentic System Architecture & Development Design and implement Agentic AI solutions using Google ADK, LangGraph, LangChain, and Agent Engine. Build and extend agent harnesses, implementing the agent execution loop, tool‑call orchestration, dynamic prompt and context assembly, sub‑agent delegation, streaming, token‑budget management, and hook and guardrail enforcement. Engineer advanced LangChain and LangGraph orchestration, including LCEL chains, stateful graphs, checkpointing, human‑in‑the‑loop workflows, memory, retrievers, callbacks, and LangSmith tracing and evaluation. Build advanced RAG and GraphRAG pipelines, vector retrieval systems, and knowledge‑graph–augmented reasoning. Implement MCP‑compliant agents with capability registration, secure tool invocation, memory storage, and session state management. Apply deep knowledge of Agentic Protocol design (ADK & MCP), such as: Agent memory and conversation state Tool authorization Multi‑step workflows and orchestration Session boundary and identity controls Leverage AlloyDB and PostgreSQL/RDS for: Vector storage and hybrid search Agent memory persistence, session management, and state recovery Structured prompt scaffolding and fact retrieval ACID‑compliant transactional reasoning layers Develop scalable AI microservices using Python/Typescript, Cloud Run, Vertex AI, and event‑driven components. Optimize model inference, retrieval latency, and overall system performance.

Spec‑Driven & Agentic Development Drive spec‑driven development (SDD) using frameworks such as GitHub Spec‑Kit, OpenSpec, and BMAD‑METHOD, translating product intent into executable specifications, plans, and agent‑ready task breakdowns. Establish specification‑first review gates and living change proposals that align human engineers and AI agents before implementation begins.

Security, Governance & Session Management Implement enterprise‑grade security for agents including: OAuth and SSO flows IAM roles, service accounts, least‑privilege design Secure MCP tool access, command permissioning, and input validation Architect safe session‑based AI interactions with proper expiration, auditing, and context isolation. Ensure compliance with enterprise governance, Responsible AI requirements, and platform guardrails.

Platform Engineering, IaC & DevOps Use Terraform to build GCP infrastructure for AI workloads, vector stores, knowledge graphs, and orchestration services. Build CI/CD pipelines for model deployments and agent lifecycle automation. Implement observability, monitoring, and logging for AI service health.

Innovation & Collaboration Evaluate emerging tools and frameworks—including Claude Code, GitHub Copilot, AWS Kiro, GitHub Spec‑Kit, OpenSpec, and BMAD‑METHOD—and integrate them into engineering workflows. Partner with architects, data engineers, and platform teams to implement cross‑domain AI capabilities. Document architecture patterns, reusable code modules, and standards for MCP/Agentic development.

Qualifications

Experience 6–8 years in software engineering, including 2+ years in GenAI, multi‑agent, or LLM systems.

Proven delivery of at least one production‑grade AI or Agentic system, preferably involving RAG or GraphRAG.

Technical ExpertiseCore Engineering Strong engineering fundamentals in Python and/or Typescript.Agentic AI & Protocols Deep, practical experience with: MCP (Model Context Protocol) — tools, capabilities, memory, session orchestration, security Google ADK Agentic Protocols — agents, workflows, context management LangChain & LangGraph — LCEL chains, agents, tools, memory, retrievers, stateful graph orchestration, checkpointing, human‑in‑the‑loop control, and LangSmith tracing and evaluation Agent harness engineering — agent execution loops, tool‑call orchestration, context and prompt assembly, sub‑agent delegation, streaming, token‑budget management, and hook and guardrail enforcementSpec‑Driven & Agentic Development Frameworks Hands‑on experience with spec‑driven development (SDD) workflows and tooling, including GitHub Spec‑Kit (specify, plan, tasks, implement), OpenSpec (change proposals and living specifications), and BMAD‑METHOD (agentic planning with specialized agent roles) Proven ability to decompose product intent into executable specifications, structured plans, and agent‑ready task breakdowns that align human and AI contributors before code is written Familiarity with greenfield and brownfield delivery driven by multi‑agent planning, context engineering, and specification‑first review gatesDatabases & Agent Memory Stores Hands‑on experience with AlloyDB, including: Vector indexing / pgvector AI inference acceleration and Vertex AI integration Building agent memory and retrieval layers Transactional context management for Agentic systems Strong PostgreSQL/Postgres RDS fundamentals, including: Schema design for knowledge retrieval Query optimization Hybrid search patterns Durable storage for AI session and memory stateCloud & Platform Skills Experience with: Vertex AI (Model Garden, Embeddings, Vector Search, Generative AI APIs) GCP Cloud Run, AlloyDB, Cloud Storage, Secret Manager Terraform / IaC CI/CD automation, containerization, environment provisioning OAuth, SSO, IAM roles/policies, service account management Additional Experience with AI coding tools (Claude Code, GitHub Copilot, AWS Kiro). Strong understanding of LLM safety, governance, context window management, and prompt engineering.

Preferred Certifications

• GCP Professional Cloud Architect
• GCP Professional Machine Learning Engineer

Education

Bachelor’s or Master’s in Computer Science, Engineering, or related field.

Work Schedule

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday). Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I‑983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short‑term or annual bonuses, long‑term incentives, and on‑the‑spot recognition. The annualized base pay range for this role is: $127,600 - $191,400

Equal Opportunity and Legal Notices

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits Every day, a day to do right. Showing up for people isn’t just what we do. It’s who we are – and have been for more than 200 years. We’re devoted to finding innovative ways to serve our customers, communities and employees—continually asking ourselves what more we can do. Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever‑changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable? That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined. And while how we contribute looks different for each of us, it’s these values that drive all of us to do more and to do better every day. About Us Our Culture What It’s Like to Work Here Perks & Benefits Legal Notice Accessibility Statement Producer Compensation EEO Privacy Policy California Privacy Policy Your California Privacy Choices International Privacy Policy Canadian Privacy Policy Unincorporated Areas of LA County, CA (Applicant Information) MA Applicant Notice Hartford India Prospective Personnel Privacy Notice Electronic Monitoring Policy