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Tata Consultancy Services (TCS)

Forward Deployed Engineer

$125K - $130K Brentwood, TN, US Mid Posted May 31, 2026

Role Description

Must Have Technical/Functional Skills * Strong full-stack development experience with a backend-heavy focus * Proficiency in Java, Python, and GCP (required) * Experience with Vertex AI and Agentic AI * Experience with Capacitor and other mobile frameworks (good to have) * Ability to independently own the full FDE lifecycle, including development, QA, and end-to-end delivery

Roles & Responsibilities Hands on end to end design, development Generic Managerial Skills, If any Given the nature of the FDE role, we’re looking for someone who is highly self-driven, comfortable wearing multiple hats, and able to ramp up quickly with minimal onboarding.

Salary Range: $125,000-$130,000 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: Commuter Benefits & Certification & amp; Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

#LI-SP1

Location Brentwood, TN Job Function TECHNOLOGY Role Engineer Job Id 415145 Desired Skills Java | Python Salary Range $125,000-$130,000 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.

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