Inclusion without Exception
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 (BSE: 532540, NSE: TCS) is the technology partner of choice for industry-leading organizations worldwide. Since its inception in 1968, TCS has upheld the highest standards of innovation, engineering excellence and customer service.
It has set an aspiration to become the world's largest AI-led technology services company and is enabling its clients to transform themselves across the full AI stack, from infrastructure to intelligence.
Rooted in the heritage of the Tata Group, TCS is focused on creating long term value for its clients, its investors, its employees, and the community at large. With a highly skilled workforce spread across 56 countries and 194 service delivery centers across the world, the company has been recognized as a top employer in six continents. With the ability to rapidly apply and scale new technologies, the company has built long term partnerships with its clients. Many of these relationships have endured into decades and navigated every technology cycle, from mainframes in the 1970s to artificial intelligence today.
"
Skills and responsibilities:
Required Skill Set:
- AI GenAI Solution Architecture Architect end-to-end AI and Generative AI solutions on Azure, leveraging
- Azure AI Foundry (projects, prompt flows, evaluations, deployments)o Azure OpenAI (GPT-4.x, embeddings, assistants agents)
- Azure AI Search (vector, hybrid, semantic search)Design agentic AI architectures, including Multi-agent workflows using Lang Chain and Lang Grapho Tool-calling, routing, memory management, and stateful orchestration
- Define reference architectures for RAG (Retrieval-Augmented Generation) Intelligent document processing Conversational AI and copilots
- Knowledge assistants and decision-support systems LangChain LangGraph Architecture Design and govern LLM orchestration frameworks using LangChain chains, tools, retrievers, and memory abstractions LangGraph for graph-based, stateful, multi-step workflows Define patterns for Supervisor worker agent models
- Conditional routing and branching logic Human-in-the-loop workflows
- Establish best practices for Prompt engineering and prompt versioning Evaluation, testing, and regression of LLM outputs Agent observability and debugging (logs, traces, metrics)
- NLP Language AI Expertise Lead solutioning for NLP use cases, including Text classification, summarization, entity extraction, sentiment analysis Semantic search and knowledge extraction Conversational and domain-specific language models
- Leverage Azure NLP capabilities such aso Azure AI Language Custom text analytics and domain adaptation
- Guide teams on language data preparation, embeddings strategy, and accuracy tuning
- Python-Based AI Engineering Leadership Provide architectural guidance for Python-based AI development, including API and microservice design for AI work loads Integration with Azure Functions, App Service, AKS Define standards for Code structure, modularity, and reuse Model and prompt lifecycle management Performance optimization and cost control.
- Enterprise, Security Governance
- Design AI solutions aligned with enterprise and BFSI requirements, including Security, privacy, and data residency Azure Entra ID, RBAC, managed identities Private endpoints, VNET integration, network isolation
- Define Responsible AI and governance frameworks Prompt safety, content filtering, bias mitigation Auditability, explainability, and traceability
- Support compliance with internal risk, legal, and regulatory standards
- Delivery, Stakeholder Pre-Sales Support Lead architecture workshops and design sessions with Business stakeholders and executives Product, engineering, and data teams
- Translate business requirements into Architecture diagrams Solution design documents Architecture Decision Records (ADRs).
Salary Range - CA$ 100,000 - CA$ 120,000 Per Year
TCS does not use artificial intelligence tools for candidate screening or evaluation. This post is for a current vacancy. The hiring process includes an initial screening, followed by a technical evaluation and managerial discussion.
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.
