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

Deloitte • Jersey City, NJ

20d • $134,500 - $265,100

About The Position

Deloitte’s Converge for FSI team develops differentiated financial services products. This role focuses 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.

The Lead Product Forward Deployed Engineer is a highly skilled, client-facing engineer who works at the intersection of engineering and customer partnership. Embedded with strategic clients, particularly in financial services, the engineer understands complex technical challenges and helps design and implement solutions using the platform. The role involves close collaboration with client technical stakeholders and internal product and engineering teams, with direct influence on product direction. The position requires comfort with fast-moving, high-stakes environments, technical architecture discussions, hands-on workshops, and rapidly developed proofs of concept.

The role is available in 83 listed locations. It requires an average of 20–40% travel, depending on work and clients. Recruiting for this role ends on 11/30/2026. The estimated wage range is $134,500–$265,100. Employees may also be eligible for a discretionary annual incentive program, subject to its governing rules and performance factors.

Requirements

• Bachelor’s degree in Engineering, Business, Marketing, or an equivalent field; an MBA is a plus.
• At least 5 years of software engineering experience, including significant experience in client-facing, solutions engineering, or field engineering roles.
• Deep expertise in Java and Spring Boot, including production-grade microservices development.
• Strong understanding of event-driven architecture, including Kafka, event sourcing, CQRS, and asynchronous messaging patterns.
• Hands-on experience with microservices design principles, including service decomposition, API design, resiliency patterns, and observability.
• Proficiency across multi-cloud environments, with AWS as a primary platform; working knowledge of Azure and GCP.
• Familiarity with Docker and Kubernetes.
• Exposure to agentic AI frameworks and tooling, such as LangGraph, LangChain, or similar orchestration frameworks.
• Practical understanding of LLM integration patterns, prompt engineering, and AI-powered application design.
• Ability and interest to stay current with the AI/ML landscape and translate developments into client-relevant use cases.
• Exceptional communication skills for leading technical conversations with senior engineers and C-suite stakeholders.
• Strong facilitation skills for workshops, design reviews, and working sessions.
• Self-directed, highly organized, and comfortable managing multiple client engagements simultaneously.
• Must be legally authorized to work in the United States without employer sponsorship now or at any time in the future.
• Ability to travel an average of 20–40%, depending on work and clients served.

Nice To Haves

• MBA.
• Background in financial services, especially retirement and wealth.
• Experience with CI/CD pipelines and DevSecOps practices.
• Contributions to open-source projects or public technical content such as talks, blogs, or repositories.
• Experience in a startup or high-growth SaaS environment.
• Experience using AI and LLMs for rapid prototyping in sales, business development, or product demonstrations.
• Relevant cloud certifications, such as AWS Solutions Architect or GCP Professional.

Responsibilities

• Serve as the technical point of contact for strategic client accounts and build relationships with architects, engineers, and technical leaders.
• Lead discovery sessions to understand client architectures, pain points, and business objectives.
• Explain complex technical concepts clearly to technical and non-technical audiences.
• Collaborate with client architects and internal engineering teams to design scalable, production-ready solutions.
• Provide guidance on microservices architecture, event-driven systems, and cloud-native deployment patterns.
• Review client system designs, identify risks, and recommend best practices.
• Rapidly prototype and build proofs of concept demonstrating platform value for clients’ real-world use cases.
• Deliver polished, technically rigorous demonstrations tailored to client technology stacks and business domains.
• Maintain reusable demonstration assets and reference implementations.
• Design and facilitate technical workshops, hackathons, and onboarding bootcamps for client engineering teams.
• Produce technical documentation, runbooks, and integration guides.
• Help client teams build confidently and independently to accelerate time-to-value.
• Represent the voice of the customer by communicating product gaps, integration friction, and feature requests to internal product and engineering teams.
• Partner with Sales, Solutions Architecture, and Product to shape technical go-to-market strategy.

Benefits

• May be eligible to participate in a discretionary annual incentive program, subject to program rules and applicable factors.
• Deloitte offers employees a broad range of benefits; specific benefits are not listed in the posting.
• Professional development opportunities, including on-the-job learning, formal development programs, leadership opportunities, and mentorship.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior