New 
Forward Deployment Engineer
 Tata Consultancy Services | |
$180,000 - $200,000
| |
 United States, Minnesota, Eden Prairie | |
 Nov 07, 2026 | |
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Job Description
Must Have Technical/Functional Skills * 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 modern HL7 FHIR US Core / Da Vinci implementations. * 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 are scalable, supportable, and can be transitioned effectively to production engineering teams
Salary Range: $180,000- $200,000 a year
TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commut Location
Eden Prairie, MN
Function
TECHNOLOGY
Role
Engineer
ID
438451
Skills
Artificial Intelligence | Machine Learning
Salary Range
$180,000 - $200,000 Desired Candidate Profile
Qualifications BACHELOR OF ENGINEERING | |