Jobs at The Hartford Financial Services Group, Inc.

The Director of Application & Data Technology Risk leads risk management for technology, focusing on application security, data exposure, AI risks, and emerging technologies. They partner with technology leaders to ensure risks align with business and regulatory expectations.

The role involves managing engineers, overseeing projects, designing application architectures, developing infrastructure using IaC, and mentoring team members. Responsibilities include automating processes and ensuring reliability in AWS deployments.

The Senior AI Machine Learning Engineer will design and implement MLOps services, build AI solutions, and lead collaborations across multiple teams to enhance customer experiences.

The Staff Data Engineer will build and optimize data pipelines, influence architectural decisions, and support data governance for claims data management. They will work with cloud platforms and big data technologies to ensure high-quality data products.

The Staff Reliability Engineer will enhance data platform reliability through automation, incident management, and observability in a hybrid work setting.

The Solution Architect designs end-to-end solutions for underwriting, driving innovation with emerging technologies, and ensuring compliance and security while collaborating across teams.

The Senior Data Architect is responsible for developing data architecture plans, enforcing standards, guiding application teams, and translating business analytics into actionable data designs while coordinating across various data domains.

The Senior Data Engineer will design, develop, and maintain robust data pipelines, collaborate with teams, and enhance data architecture.

The role involves contributing to data engineering tasks on AI platforms, developing data pipelines, and collaborating with teams to implement features under mentorship from senior engineers.

The Senior Data Scientist will prototype machine learning models, evaluate emerging technologies, collaborate with business stakeholders, and mentor juniors while working on AI and computer vision innovations.

The Senior Staff Data Engineer will lead the design and implementation of data solutions on Snowflake, focusing on ELT integration, data governance, and using agile methodologies to enhance data assets.

The Senior Cloud Software Engineer will design, develop, and scale cloud-native systems for document processing, focusing on reliability and performance, while collaborating with data teams and driving technical decisions.

Lead the development of AI-driven systems and data engineering strategies, focusing on Generative AI solutions and data pipeline implementation. Mentor junior team members and collaborate with cross-functional teams for effective integration.

Lead the development of AI solutions and data engineering strategies, implementing data pipelines and improving data capabilities while ensuring compliance with best practices.

The AI Platform Principal Engineer will develop AI operations services, enhance platform functionality, mentor team members, and collaborate with various partners to architect end-to-end AI solutions.

The Data Scientist will enhance actuarial processes through statistical models and machine learning, collaborating with cross-functional teams and communicating results effectively.

Join The Hartford as a Senior Data Scientist, focusing on Generative AI to enhance underwriting and customer service through innovative AI-driven solutions and research in the field.

The role involves leading software engineering for AI-driven cybersecurity solutions, collaborating across teams, and ensuring secure development practices.

Lead the modernization of the Business Intelligence reporting ecosystem, manage a team, oversee compliance, and address analytics requests in Employee Benefits insurance.

As a Sr Applied AI Scientist, you'll build and scale knowledge graph capabilities, conduct applied research on graph reasoning, and design solutions for fraud detection, collaborating with various teams to create scalable AI products.