Convergeprosperity - Product Forward Deployed Engineer, Insurance Growth Suite (manager) - Innovation_delivery_transformation

This role is for a Forward Deployed Engineer (FDE) who will work directly with clients in the financial services sector to understand their technical challenges and implement solutions using Deloitte's platform. The FDE will be responsible for client engagement, technical advisory, solution design, building proofs-of-concept, and conducting technical workshops. The role requires expertise in Java, Spring Boot, event-driven architecture, microservices, and multi-cloud environments, with exposure to Agentic AI frameworks (LangGraph, LangChain) and LLM integration patterns.

What you'd actually do

  1. Serve as the primary technical point of contact for strategic client accounts, building deep relationships with architects, engineers, and technical leaders
  2. Lead discovery sessions to understand client architectures, pain points, and business objectives
  3. Collaborate with client architects and internal engineering teams to design scalable, production-ready solutions
  4. Rapidly prototype and build POCs that demonstrate platform value in the context of a client's real-world use cases
  5. Act as the voice of the customer — surface product gaps, integration friction, and feature requests to internal product and engineering teams

Skills

Required

  • Java
  • Spring Boot
  • microservices architecture
  • event-driven architecture
  • Kafka
  • event sourcing
  • CQRS
  • async messaging patterns
  • microservices design principles
  • service decomposition
  • API design
  • resiliency patterns
  • observability
  • multi-cloud environments
  • AWS
  • Azure
  • GCP
  • Docker
  • Kubernetes
  • Agentic AI frameworks
  • LangGraph
  • LangChain
  • LLM integration patterns
  • prompt engineering
  • AI-powered application design
  • communication skills
  • technical leadership

Nice to have

  • client-facing experience
  • financial services sector experience
  • insurance industry experience
  • start-up spirit
  • enterprise strength

What the JD emphasized

  • client-facing
  • technical challenges
  • world-class solutions
  • high-impact, high-visibility
  • deeply technical stakeholders
  • primary technical point of contact
  • production-ready solutions
  • rapidly prototype and build POCs
  • technically rigorous demos
  • deep expertise in Java and Spring Boot
  • building production-grade microservices
  • hands-on experience with microservices design principles
  • exposure to Agentic AI frameworks and tooling
  • practical understanding of LLM integration patterns

Other signals

  • client-facing
  • technical advisory
  • solution design
  • proof of concepts
  • workshops
  • agentic AI frameworks
  • LLM integration patterns