Ingestion Principal Engineer

JOB DESCRIPTION

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 stakeholders


* Develop 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 innovation


* Define and enforce architectural standards for distributed systems: service decomposition, API contracts, idempotency, durable execution, and failure isolation


* Guide 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 steps


* Architect 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-making


* Plan and oversee project timelines, resource allocation, and technical deliverables for platform enhancements and new features within an agile SDLC


* Design 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 versioning


* Evaluate and implement emerging technologies - agentic AI, workflow orchestration engines (Temporal,...