Converge for FSI - RAE Lead Product Forward Deployed Engineer_Products & Platforms

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 the Retirement Agentic Ecosystem (RAE), an AI-enabled platform that connects retirement systems and coordinates workflows across plan onboarding, ongoing operations and participant servicing—helping providers reduce manual work, improve accuracy and deliver more connected experiences. This is a great opportunity to be on the frontlines of Deloitte’s innovation & 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 11/30/2026.

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 20-40%, on average, based on the work you do and the clients and industries/sectors you serve.
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

• Background in financial services, specifically retirement & wealth, strongly preferred
• Experience with CI/CD pipelines and DevSecOps practices
• Contributions to open-source projects or public technical content (talks, blogs, repos)
• Prior experience in a startup or high-growth SaaS environment
• Prior experience using AI and LLMs to rapid prototype in a sales, business development or product demonstrations 
• Relevant cloud certifications (AWS Solutions Architect, GCP Professional, etc.)

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500-$265,100

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.