ConvergeHEALTH - Forward Deployed Engineer, Data Studio-Supply Chain - Innovation_Delivery_Transformation

Deloitte is seeking a Forward Deployed Engineer to support Converge for Healthcare's Data Studio platform. The role partners with clients, consulting teams, and product and engineering teams to shape, build, deploy, and scale agentic healthcare use cases, while translating field learnings into reusable platform capabilities.

Responsibilities:

• Presales & solution shaping. Partner with Health Care consulting teams and Converge for Healthcare's account and product teams during the sales cycle - running technical discovery, demonstrations, and use-case fit assessments that qualify client needs and shape a credible path to production value
• Agentic use case development. Work hand-in-hand with clients to build out agentic use cases on Data Studio - sometimes adapting and extending Deloitte's library of proven use cases, other times building greenfield to solve a client-specific problem - engineering toward durable, production-scale capabilities rather than one-off demonstrations
• Data readiness for agentic use cases. Define the data and context each agentic use case depends on to perform reliably, confirm the unified data foundation can support it, and partner with data engineering and client teams to close any gaps - owning what the use case needs to work, not the underlying pipelines that feed the foundation
• Client enablement & value realization. Support client training, onboarding, and adoption activities, and stay engaged post-launch to help identify expansion opportunities grounded in real usage
• Field-to-product feedback. Capture recurring client needs, data patterns, and delivery learnings, and translate them into concrete agentic capability requests and reusable extensions for product and engineering teams

Requirements:

• Genuine techno-functional profile - deep technical capability paired with deep healthcare domain fluency, applying both together to adapt agentic solutions to real client workflows
• Strong healthcare domain knowledge spanning provider and/or payer domains - such as revenue cycle, clinical operations, network strategy, or actuarial - with the versatility to apply it across multiple areas rather than a single specialty
• Strong hands-on engineering skills, including proficiency in Python and SQL and comfort working with APIs, data integration patterns, and cloud-based services (e.g., AWS) to build and deploy production-grade capabilities in client environments
• Hands-on experience designing, adapting, or hardening agentic workflows - multi-agent coordination, tool invocation, memory/state management - using modern agent frameworks, with the judgment to take a working use case to a production-grade client deployment
• Working knowledge of the retrieval and knowledge layer behind agentic systems - RAG pipelines, embeddings and vector stores, and increasingly knowledge graphs - including how to ground use cases in large volumes of unstructured healthcare data (e.g., clinical notes, payer policies, contracts) alongside structured sources
• Intellectual curiosity and a strong pull toward what's next - actively following how agentic frameworks, tooling, and techniques are evolving, and quick to adopt new approaches in a field where today's stack may look very different in six months
• Client-facing credibility to translate technical tradeoffs and constraints into clear business decisions, carrying both technical and executive conversations within the same engagement
• Judgment to size each engagement - recognizing when an agentic use case can be reused with light configuration, when it needs substantial extension, and when a client problem calls for building greenfield
• Solid understanding of healthcare data and data standards (e.g., claims, remittances, EMR data, HL7, FHIR, X12 EDI), with the ability to reason through data quality and business context
• Comfort supporting commercial and sales-adjacent activities such as demos, use-case fit assessments, and solution qualification, alongside post-sale delivery and value realization work
• Ability to build trust and durable working relationships quickly with client stakeholders and account teams in predominantly virtual and distributed delivery environments
• Excellent written and verbal communication skills, including the ability to develop client-facing materials, lead technical discovery conversations, and work effectively across distributed teams and international time zones
• Bachelor's degree in Computer Science, Information Systems, Engineering, Health Informatics, or a related technical discipline
• 4+ years of experience in software engineering, solution deployment, data engineering, or client-facing technical delivery roles
• 2+ years of experience with SQL and/or Python
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
• Master's degree in Computer Science, Engineering, Information Systems, or a related technical discipline