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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. This role involves working directly with customer stakeholders, architects, and engineering teams to understand business problems, define technical approaches, develop prototypes, and lead solutions through engineering integration and production deployment. 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.
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.
Requirements
- Bachelor's or master's degree in computer science or related field.
- Strong programming skills in Python, Java/JavaScript, C++ or equivalent.
- 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.
- Hands-on exposure to Large Language Models and Generative AI application development.
- Hands-on exposure to LLM APIs and model integration.
- Hands-on exposure to Prompt engineering and structured outputs.
- Hands-on exposure to RAG architectures.
- Hands-on exposure to Embeddings and vector search/vector databases.
- Understanding of AI application performance, security, and cost considerations.
- Understanding of 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.
Skills
- Python
- Java
- JavaScript
- C++
- Backend services development
- API development
- Distributed applications development
- Data processing
- Data transformation
- AWS
- Microsoft Azure
- Google Cloud
- Git
- Testing frameworks
- Code reviews
- Software engineering practices
- Debugging
- Troubleshooting
- Large Language Models (LLMs)
- Generative AI
- LLM APIs
- Model integration
- Prompt engineering
- RAG architectures
- Embeddings
- Vector search
- Vector databases
- AI application performance
- AI application security
- AI application cost considerations
- Enterprise application integration
- Production monitoring
- Logging
- Observability
- Agile methodologies
Location
- Canada
Work Type
- Full-time
Experience Level
- Technical Lead
- Senior
Education Level
- Bachelor's degree in computer science or related field
- Master's degree in computer science or related field
About the Company
- Tata Consultancy Services (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 FTSE4Good Emerging Index.
Equal Opportunity
- 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.
- Our continued commitment to Culture and Diversity is reflected in our people stories across our workforce and implemented through equitable workplace policies and processes.
- Tata Consultancy Services Canada Inc. is committed to meeting the accessibility needs of all individuals in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code (OHRC).
- Should you require accommodation during the recruitment and selection process, please inform Human Resources.