Insurance Product Forward Deployed Engineer

The Team

Are you looking for a unique opportunity with both start-up spirit AND enterprise strength? Deloitte's Converge for FSI business offers both We are looking for a talented individual with an innovative mindset to join the Converge for FSI team in our mission to develop differentiated financial services products that achieve product-market fit. This role is focused on ClaimBeacon, Deloitte's AI-powered claims solution. ClaimBeacon is a managed, agentic AI platform integrated with Guidewire that helps insurance carriers modernize the claims experience for both customers and Claims Adjusters. This is a great opportunity to be on the frontlines of Deloitte's innovation and product strategy while staying close to industry/sector priorities.

Position Summary

We are looking for a highly skilled and client-facing Forward Deployed Engineer (FDE) to sit at the intersection of engineering excellence and customer partnership. In this role, you will embed directly with our most strategic clients - particularly in the financial services sector - to understand their toughest technical challenges and help them design and implement world-class solutions using our platform. This is a high-impact, high-visibility role with direct influence on product direction.

You are equally comfortable whiteboarding microservices architecture with a client's principal engineer, running a hands-on technical workshop for a team of developers, and standing up a compelling proof-of-concept in days. You thrive in fast-moving, high-stakes environments and know how to earn the trust of deeply technical stakeholders.

Recruiting for this role ends on 12/3/2026. (if posted in Colorado)

Work you'll do

Serve as a technical point of contact for strategic client accounts, building deep relationships with architects, engineers, and technical leaders
Lead discovery sessions to understand client architectures, pain points, and business objectives
Translate complex technical concepts into clear, compelling narratives for both technical and non-technical audiences
Collaborate with client architects and internal engineering teams to design scalable, production-ready solutions
Provide authoritative guidance on microservices architecture, event-driven systems, and cloud-native deployment patterns
Review and advise on client system designs, identifying risks and recommending best practices
Rapidly prototype and build POCs that demonstrate platform value in the context of a client's real-world use cases
Own and deliver polished, technically rigorous demos tailored to the client's specific technology stack and business domain
Maintain a library of reusable demo assets and reference implementations
Design and facilitate deep-dive technical workshops, hackathons, and onboarding bootcamps for client engineering teams
Produce high-quality technical documentation, runbooks, and integration guides
Accelerate client time-to-value by enabling their teams to build confidently and independently
Act as the voice of the customer - surface product gaps, integration friction, and feature requests to internal product and engineering teams
Partner with Sales, Solutions Architecture, and Product to shape the technical go-to-market strategy

The successful candidate would possess these skills:

Deep expertise in Java and Spring Boot, including building production-grade microservices
Strong understanding of event-driven architecture - Kafka, event sourcing, CQRS, async messaging patterns
Hands-on experience with microservices design principles: service decomposition, API design, resiliency patterns, observability
Proficiency across multi-cloud environments, with AWS as a primary platform; working knowledge of Azure and GCP
Familiarity with containerization and orchestration (Docker, Kubernetes)
Exposure to Agentic AI frameworks and tooling - including LangGraph, LangChain, or similar orchestration frameworks
Practical understanding of LLM integration patterns, prompt engineering, and AI-powered application design
Interest in staying current with the rapidly evolving AI/ML landscape and translating it into client-relevant use cases
Exceptional communicator - able to lead technical conversations with senior engineers and C-suite stakeholders alike
Strong facilitation skills for running workshops, design reviews, and working sessions
Self-directed, highly organized, and comfortable managing multiple client engagements simultaneously
Natural curiosity and a bias for building - you'd rather spin up a demo than write a slide about one

Qualifications

Required:

Bachelor's Degree in Engineering, Business, Marketing or equivalent field. MBA a plus.
5+ years of software engineering experience, with significant time spent in client-facing, solutions engineering, or field engineering roles
Ability to travel *