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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Forward Deployment Engineer - **Company:** Tata Consultancy Services Limited - **Location:** Eden Prairie, MN, United States - **Experience:** Expert - **Salary:** $180,000 - $200,000 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, ASC X12 Standards, Microsoft Azure, Business Systems, Cloud Computing, Data Cleansing, Information Engineering, Data Integration, Relational Databases, Distributed Systems, Electronic Data Interchange (EDI), Iterative and Incremental Development, JSON, Python (Programming Language), Machine Learning, MongoDB, Node.Js, OAuth, Rapid Prototyping Process, OpenAI, Microsoft Copilot, Software Engineering, SQL Databases, Extensible Markup Language (XML), Pinecone, Scripting, Cloud Platform System, ReactJS, Fast Healthcare Interoperability Resources, Large Language Models, Prompt Engineering, Spring-boot, Model Validation, Generative AI, Apigee, Backend, AI-powered Productivity Tools, Agentic-AI, Fastapi, Build Management, AngularJS, Information Technology, Production Code, Health Level Seven International, Cosmos DB, Machine Learning Operations, FAISS, Claude, Api Design, Api Gateway, Restful APIs, Semantic Kernel, Data Pipelines, Api Management, ChromaDB, Programming Languages - **Published:** November 6, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/88793909/1 ## About the Role * Bachelor's degree in Computer Science, Engineering, Data Science, a related field, or equivalent relevant professional experience. * 10+ years of hands-on software engineering experience in deploying distributed systems and cloud-native solutions. * 9+ years of experience operating in a consulting or advisory capacity, including structuring ambiguous problems, developing solution recommendations, and delivering against client or business objectives. * 6+ years of hands-on AI/ML engineering experience, with strong exposure to Generative AI and modern LLM-based application development. * 2+ years of Forward Deployed Engineering (FDE), Applied AI Engineering, Customer Engineering, or equivalent client-embedded engineering experience, working directly with customers to translate ambiguous business needs into production solutions. * Experience working with APIs, data pipelines, or distributed systems. * Experience working with at least one cloud platform (e.g., AWS, Azure, or GCP). * Demonstrated experience working in client-facing engagements, including partnering directly with stakeholders to understand needs, communicate solutions, and support delivery in real-world environments. * Experience building and deploying AI/ML solutions, including familiarity with LLMs, prompt engineering, and model deployment patterns. * Proficiency in modern development frameworks, APIs, and data integration approaches. * Demonstrated advanced user capability on CodeX, Claude, etc. and other AI productivity tools. * Proven ability to lead client engagements, including discovery, solution design, and delivery. * Strong stakeholder management skills, with the ability to influence both technical and executive audiences. * Experience structuring ambiguous problems and driving them to clear, actionable solutions. * Excellent communication and storytelling skills, with the ability to adapt messaging to different audiences. Programming & Scripting * Languages: Python (primary for automation, APIs, and data pipelines). * UI Skills using React JS (Primary) If not the Angular API & Backend Engineering * REST API development using Spring Boot, FastAPI, or Node.js. * API integration using OAuth2/JWT authentication and API gateways such as Azure API Management or Apigee. * Data exchange formats: JSON and XML. * HL7/FHIR experience is preferred. AI/ML & GenAI Integration * LLM integration using Azure OpenAI or OpenAI APIs. Final approved job description * Frameworks: LangChain and Semantic Kernel. * Retrieval-Augmented Generation (RAG). * Prompt engineering. * Embeddings and vector databases, including Pinecone and Azure Cognitive Search. Data Engineering & Handling * Any SQL RDBMS. * NoSQL - MongoDB preferred if not Cosmos DB. Vector Databases (Pinecone, FAISS, ChromaDB) Additional Technical and Domain Requirements * Mathematical & Actuarial Modeling: Practical understanding of actuarial methodologies, drug trend regression forecasting, and predictive ML workflows applied to specialty pharmacy utilization. * Security & Governance: Comprehe nsive understanding of HIPAA, HITRUST, and SOC 2 data security standards governing Protected Health Information (PHI) and PII. Industry & Domain Expertise (Non-Negotiable) * Deep PBM Domain Fluency: 7+ years of rigorous experience within Pharmacy Benefit Management, Health Plan Pharmacy Services, or Specialized PBM Technology/Auditing firms. * Protocol & Standard Mastery: Expert familiarity with NCPDP standards (Telecommunication Standard D.0 and above, SCRIPT, Post-Adjudication Standard), X12 EDI (834 enrollment, 837 claims, 835 remittance), and, BACHELOR OF ENGINEERING ## Description * Financial & Regulatory Mechanics: Comprehensive mastery of pharmacy pricing models (WAC, AWP, NADAC, MAC), pass-through vs. spread pricing dynamics, manufacturer rebate contract administration, Medicare Part D Star Ratings, coverage-gap mechanics, and CMS audit readiness. Roles & Responsibilities * Rapid Prototyping & Production Rollout: Embed with client cross-functional PBM teams to deliver production-grade platforms, transitioning from discovery and proof-of-concept (PoC) to full enterprise deployment in compressed cycles. * Business-Value Attribution: Quantify and communicate the financial and operational impact of technical solutions, linking platform architecture to measurable improvements in cost efficiency, reconciliation, audit outcomes, and administrative processes. Client Engagement & Leadership * Partner directly with healthcare clients to understand strategic priorities, operational challenges, and digital transformation goals. * Lead discovery sessions, workshops, and solution design engagements with both technical and business stakeholders. * Act as a trusted advisor, guiding clients on how to apply AI/ML capabilities to real-world healthcare use cases, such as claims, revenue cycle, clinical workflows, and member experience. * Translate client needs into clear problem statements, solution architectures, and delivery roadmaps. Solution Design & Architecture * Design scalable, secure, and compliant AI-powered solutions aligned to healthcare industry requirements. * Architect end-to-end systems integrating LLMs, machine learning models, APIs, and enterprise platforms. Final approved job description * Evaluate trade-offs between approaches, such as build vs. orchestrate, model selection, and latency vs. accuracy, and communicate recommendations clearly to stakeholders. * Ensure solutions are designed for real-world deployment, maintainability, and integration with existing client ecosystems. Solution Implementation & Delivery * Build and deploy AI-powered solutions, including LLM-based workflows, copilots, and automation tools in client environments. * Implement integrations between AI models, APIs, and enterprise healthcare systems. * Translate defined solution designs into high-quality, production-ready code. * Contribute to end-to-end delivery by supporting development, testing, and deployment activities. Software Engineering & Integration * Develop scalable backend services and APIs using Python and FastAPI. * Build RESTful APIs and enterprise integrations with business systems and third -party platforms. * Create reusable components, automation workflows, and AI-enabled operational solutions. * Implement human-in-the-loop (HITL) approval workflows and governance controls. Hands-on Engineering * Develop solution components using modern programming languages, such as Python, Java, and SQL, and engineering frameworks. * Rapidly prototype solutions to validate concepts, iterate with client feedback, and accelerate time-to-value. * Build and deploy production-grade AI applications, including LLM-based workflows, copilots, and intelligent automation solutions. * Integrate AI agents and automation into client environments, optimizing for performance, scalability, and reliability. * Work with distributed systems and cloud platforms to support scalable, reliable deployments. * Assist with data preparation, prompt configuration, and model integration for AI-driven solutions. * Troubleshoot and resolve technical issues during development and deployment. Client Delivery Support * Work alongside senior engineers and consulting leads in client engagements across healthcare payer and provider organizations. * Support technical discussions and working sessions with client stakeholders. * Help execute defined project plans, timelines, and deliverables. * Contribute to iterative development cycles, incorporating client and team feedback. Collaboration & Translation * Partner with cross-functional teams, including engineering, platform, and product teams, to deliver integrated solutions. * Translate technical requirements into actionable development tasks. * Communicate progress, risks, and technical considerations clearly within the team. * Support alignment between technical implementation and client expectations. Final approved job description Documentation & Knowledge Transfer * Document solution components, integration points, and deployment processes. * Support knowledge transfer to client technical teams to enable adoption and sustainability. * Contribute to reusable implementation patterns, assets, and playbooks. Success Measures * Delivers high-quality solution components that meet performance, reliability, and security expectations. * Contributes effectively to end-to-end client delivery efforts. * Demonstrates strong execution in translating requirements into working systems. * Communicates clearly within teams and supports client delivery activities. * Builds capability in both technical implementation and client engagement over time. * Demonstrates the ability to design and develop prototypes with a clear path to production, ensuring solutions