Jobs at The Hartford Financial Services Group, Inc.

Design and engineer reusable cloud data platform architectures, define technology strategies and roadmaps, guide internal customers, evaluate new technologies, and build hands-on infrastructure for proofs of concept. The role supports AWS and GCP platforms, data integration, analytics, AI, cloud migrations, automation, DevOps, DataOps, and platform adoption. It also provides technical leadership and architectural guidance across organizational boundaries.

Leads AI-driven monitoring, alert triage, event correlation, incident detection, escalation, and service restoration for critical technology services. Manages major-incident communications, assesses service impact, maintains situational awareness, and partners with infrastructure, application, reliability, service desk, and vendor teams. Improves observability, automation, runbooks, event quality, and operational readiness within a 24x7 Technology Command Center.

Lead end-to-end delivery of software products and complex subsystems across multiple platforms. Define engineering practices, influence solution architecture, and oversee CI/CD, DevOps, source control, testing, code quality, and environment management. Provide technical leadership through hiring, mentoring, collaboration, conflict resolution, and culture development. Drive continuous improvement, root-cause problem solving, documentation review, and delivery of incremental customer value.

Build and own cloud-based data pipelines and governed data products supporting Employee Benefits Sales and Underwriting. Design ELT solutions, integrate complex data, improve data quality, and implement CI/CD and enterprise data engineering practices. Architect hybrid cloud solutions using AWS, Hadoop, Spark, Kafka, Snowflake, and related technologies. Influence architecture and tooling decisions, document technical guidance, mentor teams, evaluate emerging technologies, and contribute to strategic roadmaps.

Leads the technology strategy, modernization, and execution for Employee Benefits and Employer Experience platforms. Oversees cloud-native, API-driven engineering, AI-first development, DevSecOps, application modernization, and enterprise technology roadmaps. Builds high-performing global engineering teams, drives organizational transformation, manages vendors, aligns technology with business priorities, and promotes engineering excellence, responsible AI adoption, productivity, resilience, and continuous improvement.

Owns agile delivery for cloud-based data products supporting Global Specialty’s data modernization initiatives. Responsibilities include translating vision into prioritized backlogs, sprint goals, user stories, and acceptance criteria; partnering with engineering, architecture, business, and data teams; validating delivered solutions; aligning stakeholders on data requirements and definitions; monitoring outcomes; and supporting adoption, readiness, and change management.

Leads product management for Commercial Auto, Business-Owners, and Workers Compensation products across an assigned territory. Owns profit, growth, market share, pricing, underwriting, and performance objectives. Develops local market strategies, analyzes competitive and customer trends, builds financial business cases, and leads product initiatives. Partners with Sales, Underwriting, Actuarial, Claims, Legal, Compliance, agencies, regulators, and leadership to influence decisions, execute change, and deliver profitable growth. Mentors team members and travels up to 10%.

An 11-week hybrid summer internship developing statistical, machine learning, and AI solutions for insurance business problems. The intern will assess data sources, build and deploy analytical tools, support business strategies, present insights to technical and non-technical stakeholders, document work, and gain experience with cloud environments, modeling techniques, and emerging AI workflows.

Analyzes personal insurance product performance across multiple states, develops recommendations affecting growth and profitability, supports rate revisions and regulatory compliance, and advances strategic initiatives. Collaborates with product managers and teams including pricing, underwriting, claims, service, and performance analytics. Presents findings and recommendations while managing multiple priorities in a hybrid or remote environment.

Design, build, and modernize Guidewire ClaimCenter solutions, Java APIs, and cloud-native AWS services for claims operations. Own end-to-end delivery, including testing, CI/CD, observability, releases, and production support. Partner with business and operations teams to identify automation opportunities, prototype solutions, and productionize successful capabilities. Lead incident resolution, mentor engineers, develop implementation playbooks, and build Google ADK agents for document understanding, claims decision support, and workflow orchestration.

Build and enhance enterprise AI platform services spanning AIOps, MLOps, FMOps, and LLMOps. Develop GenAI and ML capabilities across Google Cloud, AWS, and Azure; architect scalable solutions; implement monitoring, CI/CD, testing, and serverless applications; and promote engineering best practices. The role also involves collaborating across data science, business, and cloud teams, mentoring engineers, reviewing system designs, and advancing RAG, vector search, agentic frameworks, and responsible AI capabilities.

Designs target-state architectures that modernize legacy Employee Benefits platforms and accelerate cloud adoption. Develops end-to-end solutions spanning APIs, microservices, micro-frontends, AI, data, identity, security, and cloud infrastructure. Evaluates technology options, establishes architecture governance, supports roadmaps, and ensures reliability, operability, cost efficiency, and security. Partners with senior leaders, value streams, and engineering teams to deliver cloud-native, AI-ready platforms.

Executes DAIO workforce strategy through workforce planning, demand and skills analysis, data-driven recommendations, transformation workstream management, change impact assessment, stakeholder engagement, and adoption planning. Partners with HR, technology, learning, and DAIO leaders on skills forecasting, upskilling, build-versus-buy analysis, governance, and executive decision support.

Leads the design and delivery of AI-driven cybersecurity solutions focused on application security, vulnerability management, threat detection, and cyber resilience. Builds secure full-stack applications and cloud-native platforms using AWS and AI/ML, integrates logging and monitoring tools, and embeds security into SDLC and CI/CD pipelines. Provides architecture guidance, technical leadership, mentoring, and delivery oversight for distributed teams while influencing enterprise engineering standards and secure-by-design practices.

Supports actuarial pricing and product strategy for Small Business commercial insurance. Responsibilities include developing rate indications, refining pricing segmentation, updating loss development factors and assumptions, analyzing deductibles and insurance limits factors, monitoring profitability, and supporting class plan rollouts. The role uses SQL, R, Python, Excel, and related tools to improve analytics, partners with underwriting and product teams, presents results to leadership, and mentors junior actuaries.

Architect and build production-grade agentic AI systems and platforms using Google ADK, MCP, LangChain/LangGraph, and AlloyDB. Develop agent harnesses, RAG/GraphRAG pipelines, vector retrieval and memory stores, Terraform-based GCP infrastructure, CI/CD for model deployments, and enterprise security and governance for sessioned agent interactions.

Lead design and delivery of scalable, secure software across full stack and cloud. Collaborate with product and architecture teams, mentor engineers, drive best practices, integrate AI-assisted tools, and participate in the full SDLC to ensure system stability and performance.

Lead infrastructure resilience for cloud and SaaS systems by implementing observability, IaC, CI/CD automation, incident triage and self-healing. Build tooling, alerts, AI-driven anomaly detection and runbooks, partner with architecture and infrastructure teams to improve reliability, performance, and security.

Lead development and maintenance of workers' compensation pricing methodologies and tools. Update model parameters, drive pricing initiatives, collaborate with underwriting/product/data science/IT, provide profitability analyses, and support implementation to improve accuracy, segmentation, and profitable growth across business segments.

Lead infrastructure resilience by implementing observability, IaC, automation, and AI-driven detection to ensure cloud and SaaS system stability. Drive tooling, alerts, self-healing, CI/CD optimization, incident triage/restore, and partner across architecture and engineering to improve performance, reliability, and cost efficiency.