ConvergeProsperity - Product Forward Deployed Engineer, BankingSuite (Manager) - Innovation_Delivery_Transformation

About the role

We are recruiting for a Forward Deployed Engineer (FDE) to join Deloitte's Converge for FSI team. This role focuses on BankingSuite, a managed composable banking platform designed to help regional, universal, and community banks launch new digital product propositions and transform the digital customer experience.

Responsibilities

• Serve as the primary 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.
• 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.

Qualifications

• 8+ years of software engineering experience, with significant time spent in client-facing, solutions engineering, or field engineering roles; background in financial services (banking, capital markets, payments, insurance, or fintech) strongly preferred.
• Bachelor's Degree in Engineering, Business, or equivalent field; Advanced Degree is a plus - equivalent work experience may act as a substitute for degree requirements.
• Deep expertise in Java and Spring Boot, including building production-grade microservices.
• A 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).
• Emerging Technology 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.
• Natural curiosity and a bias for building - you'd rather spin up a demo than write a slide about one.