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:
Lead end-to-end AIGenAI solution architecture from discovery to enterprise-scale adoption.
Run customer discovery workshops to identify high-value use cases and define success metrics.
Act as a trusted customer-facing advisor, clearly communicating architecture options, risks, costs, and timelines.
Design scalable AIML and GenAI architectures, including LLM apps, RAG patterns, and agentic workflows.
Define reference architectures, HLDLLD, integration diagrams, security designs, and operational runbooks.
Ensure Responsible AI by embedding governance, security, privacy, compliance, and human-in-the-loop controls.
Implement safeguards such as content safety, PII protection, auditability, and model risk management.
Partner with engineering teams to translate architecture into actionable delivery plans and standards.
Provide technical leadership across cloud, microservices, APIs, CICD, MLOps LLMOps, observability, and FinOps.
Require good years of solution architecture experience, strong GenAI expertise, cloud platforms, and executive-level communication skills.
Salary Range - CA$ 100,000 - CA$ 120,000 Per Year
