Senior AI Machine Learning Engineer
The Hartford1 day ago
Chicago, IL, USA +3 moreSenior
Base Salary
$117k - $176k/yr
Responsibilities
- Lead engineering execution for predictive pricing and underwriting models, including scoring pipelines, model refreshes, monitoring, data validation, and production support.
- Build, deploy, and maintain AI/ML components and data pipelines supporting pricing, underwriting, sales, service, renewal, and policy lifecycle workflows.
- Translate approved architecture and solution designs into tested, reliable, governed production code and workflows.
- Support generative AI and agentic AI solutions through prompt orchestration, retrieval-augmented generation, evaluation workflows, guardrails, and ecosystem integration.
- Develop and operate batch and near-real-time pipelines for training, feature generation, inference, post-processing, business rules, and downstream consumption.
- Deploy and sustain production AI services, jobs, APIs, and workflows in AWS and GCP.
- Own implementation quality through code reviews, testing, documentation, runbooks, production-readiness checks, and incident-response support.
- Guide and mentor junior engineers and partner with technical, data science, data engineering, pricing, underwriting, and asset-owner stakeholders.
- Maintain model and pipeline governance artifacts and identify operational risks, bottlenecks, and improvement opportunities.
Requirements
- Bachelor's degree in a related field or six years of equivalent experience in software engineering, data engineering, ML/DevOps engineering, applied AI engineering, or a related technical role.
- Strong hands-on expertise in Python, SQL, Git-based development, automated testing, and production-grade code delivery.
- Experience deploying and operating data, AI, or ML workloads in AWS and GCP, including storage, managed compute, orchestration, access patterns, logging, and monitoring.
- Experience with feature pipelines, model training, batch scoring, inference services, model monitoring, drift detection, validation, retraining, and production support.
- Ability to work within enterprise architecture, security, governance, coding, and operational standards while leading implementation work and guiding junior engineers.
- Preferred qualifications include a master's degree in computer science, engineering, information technology, MIS, data science, or a related discipline.
- Preferred experience includes insurance or employee benefits analytics, predictive model portfolio management, generative or agentic AI, RAG, prompt evaluation, AI safety controls, human-in-the-loop workflows, orchestration platforms, containers, APIs, infrastructure-as-code, observability, and incident management.
Benefits
- Hybrid work schedule requiring three days per week in the office.
- Total compensation may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition in addition to base pay.
Tech Stack
Categories
About The Hartford
The Hartford Financial Services Group is a U.S. insurer providing property and casualty coverage, group benefits, and investment products to individuals and businesses. It distributes policies through independent agents, brokers, and employer-sponsored plans, and offers mutual funds through Hartford Funds. Founded in 1810 and headquartered in Hartford, Connecticut, the company is publicly traded on the NYSE under the ticker HIG.