Staff Software Engineer - IE07IE
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.
The Hartford’s Corporate IT organization is seeking a highly motivated, detail‑oriented, and results‑driven Staff Software Engineer (Hybrid) to work on an Agile team supporting applications across Human Resources, Law, and Shared Services.
This role is focused on designing and delivering AI‑enabled and agentic AI solutions, including building intelligent applications, automation workflows, and AI‑driven integrations that support employee lifecycle processes, legal operations, compliance, and shared enterprise services.
The Staff Software Engineer has end‑to‑end responsibility for designing, building, and supporting solutions across multiple platforms and technologies. The primary focus of this role is to develop scalable, AI‑powered applications and integrations using cloud platforms (primarily AWS, with exposure to GCP). This includes applying AI and GenAI capabilities to improve efficiency, automate processes, and enable new business capabilities across HR and Law platforms.
This role requires hands‑on experience designing and implementing AI/GenAI solutions, including integrations, applied use cases, and agentic workflows.
Experience with .NET (C#) is preferred to support integration with existing applications and modernization efforts where needed.
This position works closely with product owners, business stakeholders, architects, and partner teams, and is accountable for delivering well‑architected, stable, performant, and secure solutions while continuing to modernize platforms through cloud, automation, and AI‑driven initiatives.
This role will play a key part in advancing the organization’s AI‑first engineering strategy by building and scaling real‑world AI solutions within enterprise platforms.
Responsibilities
Design, build, and support end‑to‑end solutions across HR, Law, and Shared Services applications
Design and implement AI‑enabled and agentic AI application components, including automation workflows and decision‑support capabilities
Develop and integrate AI/GenAI use cases into existing applications to improve efficiency and enable new business functionality
Identify opportunities to apply AI and automation across HR and Law workflows and drive delivery of those use cases
Design and implement robust API‑based integrations and cloud‑native services, ensuring scalability, security, and reliability
Build and support application components and integrations within the broader application portfolio
Leverage cloud platforms (AWS primarily, with GCP exposure) to build scalable, AI‑driven applications and integrations
Contribute to application and integration architecture, ensuring alignment with enterprise standards and long‑term scalability
Function as a technical subject matter expert across supported applications, technologies, and integrations
Support analytics and reporting needs, including datasets and Tableau‑based reporting where applicable
Build and implement CI/CD pipelines aligned with enterprise DevOps practices
Follow and promote software engineering best practices including version control, automated testing, and documentation
Troubleshoot and resolve application and performance issues, clearly communicating risks and mitigation plans
Collaborate closely with team members and partner teams to plan work, manage priorities, and drive outcomes
Provide mentorship and technical leadership, helping elevate engineering practices and AI adoption across the team
Qualifications
Five or more years of experience designing, developing, and supporting software applications with end‑to‑end accountability
Hands‑on experience designing and implementing AI/GenAI solutions, including applied use cases, integrations, and automation workflows
Experience building applications using cloud platforms (primarily AWS, with exposure to GCP)
Strong experience designing and implementing API integrations and service‑based architectures
Solid understanding of relational databases and SQL
Experience with CI/CD pipelines, DevOps automation, and modern software engineering practices
Familiarity with Agile/Scrum delivery methodologies
Strong analytical, problem‑solving, communication, and collaboration skills
Ability to work independently while contributing effectively in a fast‑paced team environment.
Preferred Qualifications
Experience with .NET (C#) for enterprise application integration and modernization
Experience building or integrating agentic AI or advanced automation workflows
Experience with AWS services such as Lambda, Glue, or similar cloud‑native tools
Experience with GCP services supporting AI or application workloads
Tableau or data analytics experience, including dashboards and data pipelines
Experience supporting applications in regulated environments with audit or compliance requirements
Experience applying AI to real‑world business use cases (HR, Legal, or enterprise operations preferred)
This role will have a Hybrid work schedule, with the expectation of working in an office 3 days a week
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:
$116,000 - $174,000
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
