The Hartford · 3 hours ago
Sr Applied AI/ML Engineer
NYCity-One Penn Plaza
Full-time
Hybrid
Senior Level, Lead/Staff
$117K/yr - $176K/yr
8+ years expThe Hartford is on a mission to create trustworthy, reliable, and transparent AIML systems, changing insurance and underwriting for good. The company is seeking a Sr Applied AI/ML Engineer responsible for architecting, building, and deploying production-grade AI systems, with a focus on integrating traditional ML and LLM powered cognitive AI.
Auto InsuranceCommercial InsuranceEmployee BenefitsFinanceFinancial ServicesInsuranceLife InsuranceProperty Insurance
No H1B
Responsibilities
Designs and develops AI/ML solutions to drive transformation and improve processes in underwriting, claims, operations, and corporate functions
Collaborate with Data Science Practitioners, LOB IT leads, EA, Data, and AI architects to develop solutions and integrate into operational processes and systems supporting various functions
Design, build and maintain scalable Agentic AI systems, including multi-agent workflows, remote Agent orchestration, tool calling, and human-in-the-loop (HITL) feedback
Implement Evaluation-driven development harness, grading logic, rubrics for evaluating AI Agents and tuning it for quality, safety, and reliability
Build full stack AI Agents with latest Agentic AI/UI frameworks & standards. Such as A2A, AAIF, A2UI, Agent skills, and MCP
Contribute to our starter packs (ADK/MCP), Horizontal Agents, and SDKs to tailor and deploy solutions across various use cases accelerating time to market
Apply advanced context engineering techniques like context splitting, advanced coordination, UX negotiation, checkpointing, and context offloading to build complex multi-agent systems using A2A and A2UI and MCP
Collaborate with AIOps, Platform, and Cloud teams to set up infrastructure and deploy AI Apps
Develop advanced RAG systems, such as Agentic RAG, GraphRAG etc to enhance accuracy and relevancy
Instrument AI observability using OpenTelemetry (OTel) tooling. Set up offline evaluation (LLM-as-a-judge, RAGAS scoring, ROUGE/BLEU where applicable), drift monitoring and playbacks in our Observability platform
Build scalable, fault-tolerant solutions on AWS and/or GCP in a multi cloud ecosystem
Qualification
Required
A bachelor's or master's degree in computer science, Software Engineering, Data Science, or a closely related discipline
8+ years of experience in Machine Learning, Software Engineering or related field, with at least 5+ years focused on AI or ML
2+ years of experience in GenAI/Agentic AI, RAG, semantic search, embedding models, representation & generative models (BERT, GPT)
Strong programming skills in Python and experience with FastAPI, Asynio, & Pydantic
Experience with single and multi-agent frameworks such as ADK, LangChain, LangGraph, and/or CrewAI
Strong hands-on experience in GenAI AI tools and platforms, including AWS Sagemaker/Bedrock, Google Vertex AI, Vertex AI Search and Vertex AI RAG Engine
Proven experience designing and delivering production-grade APIs, microservices & SDKs
Experience with software engineering best practices (Ex. SOLID, 12 FACTOR App, Arch Sagas, Design patterns)
Experience in designing, building, and deploying data, ML, & RAG pipelines (FTI)
Demonstrated proficiency with agile development methodologies, including SAFe
Candidate 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
Preferred
Experience with NodeJS, JavaScript, Typescript, React is a plus
Experience with IAM, MSFT Entra, Okta, oAuth2.1, SAML, OIDC is a plus
Understanding data structures, big data technologies (i.e. Hadoop, Spark, Hive, etc.), NoSQL and RDBMS is a plus
Benefits
Short-term or annual bonuses
Long-term incentives
On-the-spot recognition
Company
The Hartford
The Hartford is an industry leading provider of property and casualty insurance, group benefits and mutual funds.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
unknown1995-12-15IPO
Leadership Team
Christopher Swift
Chief Executive Officer
Recent News
2025-12-09
2025-12-08
EIN Presswire
2025-12-02
Company data provided by crunchbase