The Hartford

Insurance

• Providing comprehensive insurance solutions
• Evaluating risk
• Confidently asking for the sale while overcoming objections
• Working in a team environment
• Maintaining all state licenses and terminating prior carrier relationships as applicable

Inbound Sales Center Insurance Agent, Personal Lines

Platform Engineer

• Administer and engineer Big Data platforms across multiple Hadoop clusters in the cloud (AWS EMR), including serverless and containerized environments, to ensure scalability, performance, and reliability
• Design, implement and maintain highly scalable and resilient multi-tenant Data Platforms through Infrastructure as Code (IAC) aligning with The Hartford’s engineering, security and governance principles
• Ensure operational excellence, independently drive the triaging and service restoration of all high impact incidents to minimize the mean time to service restoration and impact to the business
• Apply Site Reliability Engineering (SRE) principles to design and implement robust tooling, proactive alerting, and automated response mechanisms that identify, mitigate, and resolve reliability risks—focusing on prevention, early detection, and continuous improvement through automation
• Own and evolve the architecture of Platform, PaaS, and SaaS solutions to meet current and future business needs—driving innovation, scalability, and operational excellence
• Participate in an on-call rotation, providing hands-on technical expertise during service-impacting incidents to ensure rapid diagnosis, effective resolution, and continuous improvement of system reliability
• Evaluate, implement, and manage emerging data technologies with a focus on big data, analytics, data wrangling, business intelligence, and data visualization to drive innovation and efficiency
• Serve as a subject matter expert and technical lead for data platforms, tools, and application interfaces—driving root cause analysis, resolving complex technical issues, and ensuring platform reliability and performance
• Provide technical leadership and mentorship to junior and mid-level data engineers, fostering skill development and promoting engineering best practices
• Collaborate with and empower data engineers, data scientists, and business analysts by enabling self-service capabilities for data wrangling, exploration, and analysis
• Develop training materials and deliver end-user training sessions to drive adoption, ensure effective use of data solutions, and enhance customer engagement
• Support the documentation, metadata management, and visualization of data assets to promote data discoverability, transparency, and self-service analytics
• Foster a culture of accountability and collaboration by building strong team commitment to shared priorities and strategic goals

Senior Platform Engineer – Big Data

Data Engineer

• Manage and mentor team of data engineers
• Implement a strategic roadmap to modernize legacy data and analytics ecosystems using Cloud and AI
• Solve for data complexity by enabling data domains and data products for all consumption architypes and stakeholders including reporting, data science, AI/ML and analytics
• Effectively communicate strategy, execution progress, and outcomes to diverse stakeholders
• Implement AI data pipelines that integrate structured, semi-structured, and unstructured data to support AI and Agentic solutions
• Design, build and maintain scalable real-time data pipelines for efficient ingestion, processing, and delivery
• Drive best practices in AI data engineering by establishing standardized processes, promoting cutting-edge technologies, and ensuring data quality and compliance across the enterprise
• Oversee the design, development, and maintenance of data pipelines, data warehouses, data lakes and reporting systems
• Identify and champion developer productivity improvements across the end-to-end data management lifecycle
• Define and implement robust data management frameworks to ensure successful adoption of Enterprise Data Governance and Data Quality practices
• Effectively manage the budget and financials for the portfolio.

Manager, AI Data Engineering

Product Manager

• Lead product execution for two Enterprise Data Services (EDS) Agile teams on the Claims Decision Augmentation ART, ensuring strong alignment to product vision and Claims business priorities.
• Develop a deep understanding of customer and business needs and ensure those needs are reflected in backlog prioritization and delivery sequencing.
• Aid the Agile Product Manager in feature road mapping and breaking down epics into features and capabilities.
• Define, refine, and communicate product vision, roadmap, and feature definitions with clarity and consistency for agile teams and stakeholders.
• Guide teams in establishing sprint goals and ensuring backlog items are clear, testable, and aligned to desired business outcomes.
• Manage and prioritize the product backlog, ensuring readiness for PI planning, iteration planning, and ongoing execution.
• Ensure agile teams fully understand the business value of backlog items and can deliver high-quality solutions.
• Lead, coach, and mentor agile team members; foster an inclusive, collaborative environment.
• Obtain input and alignment from Claims SMEs, technology partners, and stakeholders throughout the product lifecycle.
• Validate completed work against acceptance criteria and the overall product vision.
• Partner with Scrum Masters, architects, APMs, RTEs, Tech Leads, Delivery Leads, and business stakeholders to deliver value effectively.
• Drive business readiness and change management activities supporting new feature adoption.
• Monitor progress, identify impediments, and support continuous improvement efforts through inspection of metrics and team feedback.
• Actively participate in all ART ceremonies and contribute to continuous improvement.

Agile Product Owner – Claims Intelligence

Software Engineer

• Develop and deploy Risk Engineering specialized practices in Technology and Cyber Liability Line
• Manage Cyber & Technology Liability line for all Risk Engineering services
• Complete field surveys for complex accounts
• Provide technical leadership and support to Risk Engineering Consultants
• Communicate and collaborate with Cyber and Technology business partners and vendors

Technology and Cyber Technical Manager, Risk Engineering

Machine Learning Engineer

• Architect, build, and deploy production-grade AI systems
• Collaborate with Data Science Practitioners, LOB IT leads, EA, Data, and AI architects to develop solutions
• Design, build and maintain scalable Agentic AI systems
• Implement Evaluation-driven development harness
• Build full stack AI Agents
• Contribute to our starter packs (ADK/MCP)
• Collaborate with AIOps, Platform, and Cloud teams to set up infrastructure
• Develop advanced RAG systems to enhance accuracy and relevancy
• Instrument AI observability using OpenTelemetry (OTel) tooling
• Build scalable, fault-tolerant solutions on AWS and/or GCP in a multi cloud ecosystem.

Senior Applied AI/ML Engineer

Technical Product Manager

• Lead day-to-day Agile execution for multiple advanced analytics teams; leverage proficiency in Agile frameworks (SAFe, Scrum, Kanban)
• Serve as change agent for DSAIA integration and embeddedness into the GS value stream model
• Build strong partnerships with business customers and technology partners
• Partner with APMs and business leaders to refine features and roadmap priorities
• Translate vision and strategic roadmap into incremental plans, sprint goals and prioritized execution work
• Assist in development of team and product vision, strategic planning, success criteria, CBA and value propositions for Business Intelligence & Performance Analytics initiatives and assets
• Execute well-designed communication plans tailored to audiences ranging from technical peers to business stakeholders of various levels

Technical Product Owner – Global Specialty Performance Analytics, Business Intelligence

Administration

• Effectively manage workers’ compensation claims requiring coverage and compensability investigations as identified from First Notice of Loss in multiple jurisdictions.
• Identify co-morbid conditions/prior conditions that may affect the original or ongoing compensability decision of the claim
• Provide benefit oversight and file disposition appropriate for claim complexity and adherence to statutory guidelines for all claims
• Leverage a network of internal partner resources such as: nurses, utilization review, and subject matter experts to help with disposition of the claim
• Identify and investigate potential fraud red flags, inclusive of referral to SIU
• Provide exceptional customer service by establishing and maintaining productive business relationships with internal and external customers through written and verbal communication
• Utilize critical thinking skills to gather and analyze data information to inform critical claim decisions, such as coverage analysis, compensability decisions, escalation of injury complexity, attorney representation, and potential red flags
• Leverage contemporary technology to achieve accurate and efficient claim outcomes
• Consistently demonstrate professional diplomacy during all interactions with customers
• Contribute to a courageous culture that promotes collaboration and inclusion to maximize operational performance and employee engagement
• Embrace a culture of continuous improvement

Workers' Compensation Claim Administrator

Full-stack Engineer

• Define and evolve the UI platform strategy, ensuring extensibility, future‑proofing, and readiness for rapidly emerging AI capabilities (interact with agent workflows, interactive chat, Agent 2 Agent, agent tool use selection, RAG workflows).
• Provide technical leadership, maintaining architectural alignment and the integrity of the UI platform and application environment.
• Collaborate with platform teams to safely leverage AI and agentic capabilities through stable, versioned APIs and shared governance.
• Champion innovation, experimenting with modern frameworks, architectures, and AI-driven enhancements that improve user experience and accelerate delivery.
• Partner with Product, Design, Architecture, Data Science, and Platform teams to evolve ideas from POCs → MVPs → scalable production experiences.
• Design human‑in‑the‑loop workflows (approve/override/rollback, review gates, clear status indicators) to ensure safe and transparent AI decision-making.
• Plan integration patterns for GCP Agent SDK/Agent Builder, AWS Bedrock/Anthropic, Snowflake/data products, and retrieval/embedding pipelines using typed SDKs/APIs.
• Architect AI UX patterns such as copilots, chat flows, inline recommendations, tool-triggering actions, and token‑streaming guidance with cancel/retry and partial updates.
• Define prompt templates, guardrails, and explainability signals (confidence, sources, metadata) for safe AI usage directly in the UI flows.
• Lead hands‑on UI development in TypeScript using Angular and/or React, delivering modern single-page applications across CSR, SSR, and hybrid rendering models (Angular Universal, Next.js).
• Build AI-driven user interaction surfaces: side panels, chats, inline instruction flows, streaming experiences, and contextual tool invocation.
• Develop file-upload and document‑management interfaces integrated with RAG pipelines, presenting detailed ingestion lifecycle statuses (uploaded → queued → extraction → embedding → retrieval-ready → processed).
• Integrate UI components with MCP (Model Context Protocol), agent tools, and API gateways, supporting multi-step agent workflows (planning → executing → tool call → validating → complete → error).
• Improve UI performance through modular routing, lazy loading, optimal async patterns, reduced bundle sizes, efficient rendering, and clean component architecture.
• Apply strong engineering practices: unit tests, integration tests, E2E, visual regression, prompt regression, and streaming/real-time test harnesses.
• Monitor real‑world performance and reliability using Dynatrace, Google Analytics, Cloud Logging, and Splunk, ensuring resilience and responsiveness.
• Track behavior of AI workflows, tool interactions, streaming performance, and user flows to ensure correctness and minimize latency or failure modes.
• Conduct code reviews focused on accessibility, maintainability, reliability, and adherence to engineering best practices.
• Mentor junior engineers and raise overall engineering craftsmanship across the team.
• Communicate risks, issues, decisions, and technical trade-offs proactively to stakeholders and leadership.
• Provide ongoing support for platform evolution, architectural governance, and new AI capability onboarding.

Staff Software Engineer – UI, Applied AI

Account Manager

• Responsible for managing a defined book of business consisting of Regional Account (500-4,999 lives) customers.
• Proactively support your clients through various interactions including stewardship meetings based on each customer’s needs.
• Develop and execute comprehensive book of business strategies consistent with organizational initiatives, profitability & persistence targets, segment requirements, and individual customer’s needs.
• Make recommendations for changing where appropriate.
• Keeps abreast of client's changing benefits/HR needs/corporate landscape.
• Identifies and coordinates annual enrollment activity/communication requirements.
• Actively supports Book of Business growth objectives by identifying and pursuing opportunities for new and/or increased lines of coverage in conjunction with the Regional Account Executive.
• Partners with Regional Account Executive to educate and develop relationships with Brokers and their staff.
• Drives the renewal process in collaboration with the Regional Account Executive and the Underwriter, engaging other business partners as appropriate.
• Primary liaison between customer, producer and internal partners to ensure customer needs are addressed, bringing in the right resources at the right time.
• Identifies opportunities for process improvement, for the benefit of individual customers and the broader customer base and acts as appropriate.
• Understand and effectively communicate basic underwriting principles, claims experience and pricing justifications to Producers and Customers.

Client Relationship Manager

• Develop and test AI/ML solutions for multiple use cases spanning underwriting, claims, operations, and/or 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.
• Build and maintain scalable Agentic AI systems.
• Build full stack AI Agents with latest Agentic AI/UI frameworks & standards.
• Build reusable components, APIs, SDKs, Agents, MCP tools for the enterprise.
• Apply context engineering and prompt tuning techniques.
• Develop advanced RAG systems, with hybrid search and metadata filtering.
• Instrument AI observability using OpenTelemetry (OTel) tooling.
• Build scalable, fault-tolerant solutions on AWS and/or GCP in a multi cloud ecosystem.

AI/ML Engineer

Analyst

• Collaborate with internal and external stakeholders to obtain and share information related to long-term disability claims
• Deliver outstanding customer service through professional written and verbal communication
• Collect and analyze information, applying critical thinking and mathematical skills to make sound decisions and draw accurate conclusions
• Apply business acumen and technical expertise to make ethical, well-informed decisions based on analysis, experience, and judgment, with management guidance as needed
• Commit to meeting the expectations and requirements of both internal and external customers
• Contribute to a positive team culture that supports Group Benefit Claims Diversity and Inclusion initiatives and objectives

Senior Ability Analyst

Program Manager

• Oversee the management of our established national programs and strategically assigned partners to drive both our financial success and long-term objectives.
• Contribute to the development of a cohesive strategy, strategic roadmap, and implementation plan to achieve targeted growth, profitability, and strategic objectives across our national programs and designated partners.
• Cultivate and strengthen strategic relationships with key corporate leaders of the organizations, fostering collaboration and ensuring alignment with business objectives.
• Engage in regular communication to understand their needs, identify opportunities for partnership, and drive mutual growth and success.
• Gain a comprehensive understanding of the organizational leadership hierarchy, identifying where deeper engagement is warranted and determining which leadership levels necessitate additional executive support.
• Cultivate strong relationships with personal lines leaders, field sales leads, and sales representatives, ensuring they remain well-informed and aligned with the structure and strategy of our national partners and programs.
• Conduct quarterly touchpoint meetings with key personal lines leaders, field sales leads, and sales representatives, to provide status updates on key initiatives and partner performance, while also serving as a strategic thought partner on both strategy and execution.
• Collaborate with national partner leaders to craft a bold, strategic vision for sustainable and profitable long-term growth.
• Design and implement nationwide initiatives to advance The Hartford’s Personal Lines & Distribution Strategy, driving and delivering these efforts both internally and externally countrywide.
• Deliver monthly production reports and communications to national partnerships, emphasizing key areas of opportunity for strategic focus.
• Provide compensation reporting on any national special deals or incentives in place with national partners.
• Leads the preliminary stages of compensation negotiations with national partners and collaborates with agency compensation teams to develop budget-aligned scenario models.
• Engages with personal lines leadership to provide recommendations and finalize the compensation strategy with national partners. Leads negotiations and external discussions with partners to secure compensation agreements.
• Serves as the primary point of contact for our national partners, representing Hartford on a day-to-day basis. The Partner Manager is responsible for managing the relationship, leveraging personal lines leadership for support and additional influence as needed.
• Oversee the development, participation, planning, and execution of major partner conferences and conventions. Collaborate closely with personal lines leadership to ensure the delivery of targeted messaging and desired outcomes.
• Continue to align with the future vision of the partnership, ensuring Hartford’s position as a strategic partner is maintained.
• Leverage One Hartford in collaboration with other segments & NCP to provide our partners with the best experience to further the Hartford Value Prop.

Personal Insurance Strategic Partner Program Manager

• Define and drive the technical vision, architecture, and roadmap for a next-generation, AI-powered data pipeline platform
• Provide technical leadership and mentorship to engineering teams
• Balance architecture leadership with hands-on prototyping and solution delivery
• Work closely with business stakeholders, data scientists, and platform architects
• Embed DevSecOps, DataOps, and agile methodologies into all aspects of platform development
• Evaluate emerging technologies, conduct workshops, and champion the adoption of Agentic AI frameworks

Principal AI Software & Data Engineer – AI-Enabled Data Engineering Pipeline

Claims Specialist

• Investigate and manage claim files to help individuals and businesses prevail after a claim
• Handle higher complexity Workers’ Compensation claims requiring timely investigations, financial accuracy, effective benefit oversight, appropriate file disposition, and adherence to statutory guidelines
• Plan, recommend, and execute the investigation and disposition of claims consistent with corporate claim standards policies and procedures, and statutory, regulatory and ethics requirements
• Manage caseload/claims within established performance standards
• Establish and maintain effective relationships with customers, gaining their trust and respect
• Be responsible for successfully managing Workers' Compensation claims
• Fully engage your exceptional verbal and numerical critical thinking skills; gather information, apply reasoning and draw appropriate conclusions to make sound decisions
• Plan recommend, reserve and execute the investigation, valuation, disposition and settlement of claims
• Achieve fair, equitable and timely claim dispositions
• Properly assess the indemnity, medical and expense exposure of assigned claims
• Set reserves accurately and in a timely manner
• Accurately resolve coverage and compensability issues
• Plan, organize and establish priorities, determine realistic completion dates
• Develop technical and jurisdictional expertise
• Maintain current knowledge of claim loss cost containment initiatives and use them appropriately and consistently with company practices and procedures
• Identify and initiate mitigation, subrogation and other recovery opportunities on assigned claims
• Identify fraud indicators and initiate investigation on assigned claims
• Apply general mathematical knowledge or financial analysis to achieve results