Tata Consultancy Services (TCS) is an equal opportunity employer, and embraces diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual orientation, to create a workforce that reflects the societies we operate in. 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.

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 FTSE4Good Emerging Index.

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. 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. 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.



Bachelor's or master's degree in computer science or related field.

Strong programming skills in Python, Java/JavaScript, C++ or equivalent.

Experience processing and transforming structured and /or unstructured data. AWS, Microsoft Azure, or Google Cloud.

Experience in Git, testing frameworks, code reviews and up-to-date software engineering practices.

Large Language

Models and Generative AI application development. Embeddings and vector search/vector databases. Understanding of AI application performance, security and cost considerations. Integration of AI capabilities into enterprise applications. Understanding of production monitoring, logging and observability.

Experience delivering solutions in customer-facing environments.

Experience leading small Agile engineering teams. Hands-on experience with enterprise GenAI implementations.

Experience with vector databases such as pgvector, Pinecone, Weaviate, Milivus or similar technologies.

Experience with frameworks for building AI applications and agents. Cloud and/or AI certifications. TCS does not use artificial intelligence tools for candidate screening or evaluation. The hiring process includes an initial screening, followed by a technical evaluation and managerial discussion.

Tata Consultancy Services Canada

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📌 AI Deployment & Solutions Engineer (Toronto)
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