Ingestion Principal Engineer

In this high-impact, high-visibility role, you will lead the planning, solution design, and end-to-end software development and testing for Chubb's global digital enablement platform. You will be at the forefront of driving strategic technical directions including agentic AI adoption, durable workflow orchestration, and event-driven microservices architecture — and overseeing delivery of new and enhanced product features critical to our business. You will collaborate closely with architecture, data, engineering, and business teams, enabling effective decision-making and ensuring that all efforts align with business objectives, regulatory requirements, and industry best practices. Your proven ability to lead transformative and strategic technology initiatives, combined with deep technical expertise in distributed systems, AI/agentic architectures, and the insurance domain, will be essential. Your extensive experience working with process and engineering teams in an agile environment will position you deliver impactful results and elevate the platform's capabilities.In this role, you will:Own the platform vision and technical strategy, ensuring alignment with business objectives and delivering measurable value to stakeholdersDevelop and maintain the platform roadmap, balancing feature delivery, enhancements, and technical improvements — including modernization toward event-driven, API-first, and agentic architectures — to drive continuous innovationDefine and enforce architectural standards for distributed systems: service decomposition, API contracts, idempotency, durable execution, and failure isolationGuide development teams by setting code standards, conducting design/architecture reviews, and embedding best practices in software engineering (clean architecture, testability, observability-by-design)Design and oversee durable workflow orchestration using Temporal (or equivalent durable execution engines) for long-running, stateful business processes spanning policy, claims, and billing systems — including saga patterns, compensating transactions, and human-in-the-loop stepsArchitect and govern agentic AI systems: multi-agent orchestration frameworks (LangGraph, AutoGen, CrewAI, Claude Agent SDK), tool-use/function-calling patterns, the Model Context Protocol (MCP) for tool and context interoperability, agent memory/state management, and guardrails for autonomous decision-makingPlan and oversee project timelines, resource allocation, and technical deliverables for platform enhancements and new features within an agile SDLCDesign and manage integration with internal systems (policy, claims, billing, CTM) and external partners (vendors, third-party data sources) via well-governed APIs, event streams, and webhooks — with contract testing and schema versioningEvaluate and implement emerging technologies — agentic AI, workflow orchestration engines (Temporal, Camunda, Step Functions), automation, cloud-native and serverless computing — to improve platform efficiency, resilience, and scalabilityEstablish MLOps/LLMOps practices for AI-driven features: prompt/version management, evaluation harnesses, model routing across tiers, cost/latency monitoring, and human-review gates for AI-generated outputsEnsure the platform meets regulatory, data privacy, and cybersecurity standards, including secure handling of PII/PCI data, auditability of AI agent decisions, and defense against prompt injection and other agentic-specific threat vectorsLead successful delivery of enhancements and new product introductions in cooperation with all internal partnersLead troubleshooting and root-cause resolution of platform and workflow-orchestration issues, using distributed tracing and structured logging to minimize business disruptionPartner with business product owners, enterprise architects, and product team members to document and groom product features, user stories, and acceptance criteria (Given/When/Then) in an agile development environmentWork with technical experts to ensure technical designs align with business needs and comply with enterprise IT policies, best practices, standards, and processesManage day-to-day technical activities and mentor engineers on distributed systems and AI/agentic design patterns Chubb is a world leader in insurance. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance, and life insurance to a diverse group of clients. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally. At Chubb, we are committed to equal employment opportunity and compliance with all laws and regulations pertaining to it. Our policy is to provide employment, training, compensation, promotion, and other conditions or opportunities of employment, without regard to race, color, religious creed, sex, gender, gender identity, gender expression, sexual orientation, marital status, national origin, ancestry, mental and physical disability, medical condition, genetic information, military and veteran status, age, and pregnancy or any other characteristic protected by law. Performance and qualifications are the only basis upon which we hire, assign, promote, compensate, develop and retain employees. Chubb prohibits all unlawful discrimination, harassment and retaliation against any individual who reports discrimination or harassment. 15+ years of proven experience designing and implementing global platform solutions at scaleStrong background in software engineering, cloud platforms (AWS, Azure, GCP), APIs, microservices, event-driven architecture, and data managementHands-on experience with durable execution / workflow orchestration engines — Temporal (preferred), Camunda, AWS Step Functions, or Cadence — for long-running, fault-tolerant business processesPractical experience building or architecting agentic AI systems: agent orchestration frameworks (LangGraph, AutoGen, CrewAI, Claude Agent SDK), tool/function calling, Model Context Protocol (MCP), RAG pipelines, and agent evaluation/guardrail designKnowledge graphs and semantic technologies: Neo4j, MongoDB, GraphDB, ontologies, semantic data modeling/JSON-LD, graph query languages (Cypher, SPARQL, Gremlin)AI/ML platforms: Azure OpenAI, AWS Bedrock, Google Vertex AI, Anthropic Claude API, and MLOps/LLMOps practices (prompt versioning, evaluation, observability, cost/latency management)Deep understanding of distributed systems fundamentals: consistency models, idempotency, retries/backoff, circuit breakers, saga patterns, and observability (structured logging, distributed tracing, correlation IDs)Strong understanding of insurance processes, regulatory requirements, and industry standardsProven experience leading technical teams and managing cross-functional projects in an agile environmentExperience with JIRA, Service Now, Clarity, and Azure DevOpsBachelor's and/or Master's degree in a technical or related discipline requiredThe pay range for the role is $240,000 to $280,000. The specific offer will depend on an applicant’s skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program.  Chubb offers a comprehensive benefits package, more details on which can be found on our careers website.  The disclosed pay range estimate may be adjusted for the applicable geographic differential for the location in which the position is filled. Full timePosting Date: 2026-07-23