Senior AI/ML Engineer - Applied Analytics Lead

NLP PEOPLE; Charlotte (NC); Hybrid; USD 117,000 - 176,000; Full time

Job summary

The Hartford is seeking a Senior AI/Machine Learning Engineer within Employee Benefits Applied AI and Analytics to build, deploy, and sustain enterprise-scale predictive and applied AI solutions across pricing, underwriting, and policy workflows. The role focuses on hands-on-technical leadership, design-to-production, and scalable model pipelines.

You will guide junior engineers, align with security and governance standards, and contribute to generative AI initiatives, all while operating in an

Qualifications

• Bachelor’s degree in related field or 6+ years of equivalent experience in software engineering, data engineering, ML/DevOps engineering, applied AI engineering, or closely related technical roles.
• Master’s degree in computer science, engineering, information technology, MIS, data science, or related discipline preferred.
• Strong hands-on expertise in Python, SQL, SDLC practices, Git-based development, automated testing, and production-grade code delivery.
• Experience deploying and operating data, AI, or ML workloads in AWS and GCP, including cloud storage, managed compute, orchestration, IAM-aware access patterns, logging, and monitoring.
• Experience with ML engineering concepts such as feature pipelines, model training workflows, batch scoring, inference services, model monitoring, drift detection, validation, retraining, and production support.
• Ability to work within defined architecture, enterprise security standards, data governance expectations, coding standards, and operational controls.
• Ability to lead implementation work, guide junior engineers, communicate tradeoffs, and manage multiple model/pipeline deliverables with limited day-to-day direction.

Responsibilities

• Lead day-to-day engineering execution for the EB predictive model portfolio, including pricing and underwriting models, scoring pipelines, model refreshes, monitoring, data validations, and production support.
• Build, deploy, and maintain AI/ML components and data pipelines that support applied AI use cases across pricing, underwriting, sales, service, renewal, and policy lifecycle workflows.
• Implement approved solution designs from senior Applied AI Engineers, Architects, and Data Scientists; translate design patterns into tested, reliable production code and workflows.
• Support the initial build-out of generative AI and agentic AI solutions, including prompt orchestration, retrieval-augmented generation patterns, evaluation workflows, guardrails, and integration with existing EB data and application ecosystems.
• Develop and operate batch and near-real-time data/AI pipelines for model training, feature generation, inference, post-processing, business rules integration, and downstream consumption.
• Deploy and sustain production AI services, jobs, APIs, and workflows in AWS and GCP environments using approved CI/CD, testing, observability, security, and operational practices.

Skills

Python

SQL

SDLC

Git

Automated testing

Production-grade code delivery

Education

Bachelor’s degree

Master’s degree preferred

Tools

AWS

GCP

Job description

The Hartford is seeking a Senior AI/Machine Learning Engineer within Employee Benefits Applied AI and Analytics to build, deploy, and sustain enterprise-scale predictive and applied AI solutions across pricing, underwriting, and policy workflows. The role focuses on hands-on-technical leadership, design-to-production, and scalable model pipelines.

You will guide junior engineers, align with security and governance standards, and contribute to generative AI initiatives, all while operating in an