What does a Forward Deployed Engineer do at Tata Consultancy Services (TCS)?

Forward Deployed Engineers at Tata Consultancy Services (TCS) are embedded directly with enterprise customers to implement and customize the platform, build integrations, and solve technical problems in real-world client environments. They combine software engineering skills with direct customer interaction, writing production code while also serving as the primary technical point of contact.

What skills are required for this Forward Deployed Engineer - Agentic AI & Data role?

The Forward Deployed Engineer - Agentic AI & Data role at Tata Consultancy Services (TCS) typically requires strong software engineering skills (Python, TypeScript, SQL), experience with APIs and system integration, comfort with cloud platforms, and the ability to communicate complex technical topics to non-technical stakeholders. Most FDE roles require 3-7 years of engineering experience.

Is this Forward Deployed Engineer position at Tata Consultancy Services (TCS) remote?

Remote availability varies by Tata Consultancy Services (TCS) FDE role. Some positions are fully remote, others require travel to customer sites, and some are hybrid. Check the full job description above for the specific location requirements for this posting.

Tata Consultancy Services (TCS)

Forward Deployed Engineer - Agentic AI & Data

$115K - $167K Chicago, IL, US Mid Posted June 01, 2026

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Role Description

Role: Forward Deployed Engineer - Agentic AI & Data (Senior Engineer) Location: Any US Location - must be willing to travel to client sites as needed

The Forward Deployed Engineer (FDE) is a hands-on, client-facing role responsible for designing, building, and deploying AI solutions directly within customer environments. You’ll work closely with clients to: * Translate business problems into working AI systems * Build Agentic AI, RAG, and LLM-based solutions * Move rapidly from prototype production

This role requires strong engineering depth + real-time problem solving + ability to operate in ambiguity. What You’ll Do * Build & deploy AI systems (LLMs, RAG, agents) in real client setups * Develop agentic workflows (tools, APIs, multi-agent logic) * Integrate with enterprise systems (CRM, ERP, APIs, data platforms) * Debug & troubleshoot live issues (hallucination, latency, failures) * Optimize performance & cost (caching, model routing, batching) * Add guardrails (prompt safety, validation, privacy controls) * Work directly with clients in fast, iterative delivery cycles

Qualifications: * Strong Python + API development (FastAPI/Flask) * Experience in working with one or more Agentic AI such LangChain / LlamaIndex / AutoGen / similar * Exposure to one or more Gen AI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, Claude Code, Gemini API, Vertex AI Agent Builder, Google Workspace integration, Assistants API, Responses API, OpenAI Agents SDK. * Exposure to RAG, MCP servers, tool-use APIs, * Work directly with customers, Explain solutions clearly and handle ambiguous requirements

Salary Range: $115,000 - $167,000 a year

#LI-AD1 Location Chicago, IL Job Function TECHNOLOGY Role Senior Engineer Job Id 415348 Desired Skills Artificial Intelligence Salary Range $115,000-$167,000 a year Desired Candidate Profile

Qualifications : BACHELOR OF COMPUTER SCIENCE

About Forward Deployed Engineering

Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.

Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.

Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.