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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Product Forward Deployed Engineer (Pfde) - Products & Platforms - **Company:** Deloitte T.T.L. - **Location:** Charlotte, NC, United States - **Experience:** Expert - **Salary:** $105,400 - $207,800 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Microsoft Azure, Data Governance, Data Infrastructure, Python (Programming Language), Meta-Data Management, Operational Databases, Software Engineering, SQL Databases, Unstructured Data, ReactJS, Large Language Models, Snowflake, Spring-boot, Multi-Cloud, Information Technology, Low Latency, Data Management, Api Design, Microservices - **Published:** November 7, 2026 - **Apply:** https://www.careerbuilder.com/job-details/lead-product-forward-deployed-engineer-pfde-products-platforms-charlotte-nc--ef725a84-361a-4914-949f-3e2ce1fc4519 ## About the Role Product Engineering, Artificial Intelligence (AI), Financial Services, Startup, Regulatory Reports, Data Management, Investment Funds, Product Strategy, Customer Relations, Problem Solving Skills, * Technical Stack: Strong proficiency in SQL, Python, bonus Java Springboot, ReactJS * Understanding of data product concepts including schema design, data ownership, SLAs, quality frameworks, and governance * Experience building LLM-powered agentic systems that use tools, execute multi-turn workflows, manage state, and recover from errors, with a strong understanding of token economics and how to optimize cost and latency across model calls. * Hands-on experience with microservices design principles: service decomposition, API design, resiliency patterns, observability * Experience working with structured data and unstructured data * Experience with data governance, data cataloguing, metadata management platforms, and data quality validation frameworks * Proficiency across multi-cloud environments, with AWS as a primary platform; working knowledge of Azure and GCP. 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, pro-active, highly organized, and comfortable managing multiple client implementations simultaneously * Natural curiosity and a bias for building - you'd rather spin up a demo than write a slide about one, Required: * Bachelor's Degree in Engineering, Computer Science or equivalent field. * 6+ years of software engineering experience, with significant time spent in client-facing, solutions engineering, or field engineering roles specifically in the Investment Management industry * Ability to travel 20-25%, 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: * Familiarity with concepts like AUM, NAV, positions/transactions, Reg Reporting or portfolio accounting is a strong plus, though not required to start. * Familiarity with financial data platforms * Experience with AWS-based data infrastructure (EMR, S3, Glue) or Snowflake * Experience working in a start-up or product company with a strong sense of building reusable but configurable Products. ## Description The Team The Innovation & Delivery Transformation (I&DT) team is building the future of Deloitte's business through new AI-native platforms and products. The team is responsible for identifying, nurturing, scaling, and winning in new markets through new capabilities. Rather than relying on what the firm has historically done, I&DT looks ahead and invests in areas where growth is expected three, five, and ten years into the future. 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 Fund & Investment Operations, an integrated, AI-enabled platform delivering oversight of fund and investment operation, transparency into service provider performance and production engine for regulatory reporting, data management and compliance. This is a great opportunity to be on the frontlines of Deloitte's innovation & product strategy while staying close to industry/sector priorities., 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 will bring the client's data products to life and solve real problems that only surface when a platform meets production data. 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 10/31/2026. Work you'll do * 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 functional concepts into clear, compelling narratives for both technical and non-technical audiences * Look at trends in the market and experiment, bringing new ideas into the Product roadmap * Collaborate with client architects and implementation teams to configure and publish data products * Work hands-on with implementation teams to define data product structure including schema, ownership, SLAs, quality expectations, and governance attributes * Independently structure and clean large-scale financial data and load into the tool's models * Enable implementation teams to self-serve data product creation over time and increase the configurability in the process * Run office hours, enablement sessions, and targeted training to help teams build confidence independently * Review and advise on client system designs, identifying risks and recommending best practices * Experience coordinating across time zones and operating on a onshore, near shore, offshore model * 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