Job Description & How to Apply Below
TCS is an IT services, consulting, and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 55 years. Its consulting-led, cognitive-powered portfolio of business, technology, and engineering services and solutions is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS operates in 55 countries and employs over 607,000 highly skilled individuals, including more than 10,000 in Canada.
The company generated consolidated revenues of US $30 billion in the fiscal year ended March 31, 2025, and is listed on the BSE and the NSE in India. TCS' proactive stance on climate change and award-winning work with communities across the world have earned it a place in leading sustainability indices such as the MSCI Global Sustainability Index and the FTSE4
Good Emerging Index.
About the Role
The Forward Deployment Engineer (FDE) Technical Lead is a hands‑on engineering leader responsible for solving complex problems by combining software engineering, AI/GenAI, data, cloud, integration and platform technologies.
The Technical Lead works directly with customer stakeholders, architects and engineering teams to understand business problems, define the technical approach, rapidly develop prototypes, and lead solutions through engineering integration and production deployment.
Unlike a traditional development lead, the FDE Technical Lead is expected to operate effectively in ambiguous environments, make pragmatic technical decisions, write and review code, troubleshoot complex issues, and take end‑to‑end ownership of customer outcomes.
Key Responsibilities
Lead technical discovery sessions to understand customer business problems, existing technology landscape, data, applications and constraints.
Translate customer requirements and business problems into scalable technical solutions.
Own the end‑to‑end technical implementation from discovery and prototyping through production deployment.
Design and develop application services, APIs, integrations and AI‑enabled solutions.
Remain hands‑on with coding, debugging, code reviews and technical troubleshooting.
Lead rapid prototyping and Proof‑of‑Concept development to validate solution approaches.
Define application architecture, APIs, data flows, integration patterns and deployment approaches.
Guide engineers across software, AI, data, cloud and platform technologies.
Review code and ensure engineering quality, security, scalability and maintainability.
Diagnose complex application, data, integration, infrastructure and production issues.
Drive solutions from prototype to production‑ready implementation.
Mentor junior and graduate FDEs and provide technical support and guidance.
Communicate technical decisions, trade‑offs, risks and recommendations clearly to customer stakeholders.
Required Qualifications
Bachelor's or master's degree in computer science or related field.
Experience developing backend services, APIs, and distributed applications.
Experience processing and transforming structured and /or unstructured data.
Hands‑on experience with at least one major cloud platforms: AWS, Microsoft Azure, or Google Cloud.
Experience in Git, testing frameworks, code reviews and modern software engineering practices.
Strong debugging and troubleshooting capabilities.
Large Language Models and Generative AI application development.
LLM APIs and model integration.
Prompt engineering and structured outputs.
Embeddings and vector search/vector databases.
Understanding of AI application performance, security and cost considerations.
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