AI Architect

Toronto, ON
On-site
Posted Oct 9, 2026
1 position

$120,000–$150,000 / year

Opens LinkedIn

Employment type: Full-time
Experience level: Lead · 10+ years
Posting language: English
Working hours: 40 hours per week
Seniority: Mid-Senior level
Application method: Direct apply is available

Job summary

Own AI solutions end to end, from use-case discovery and feasibility through architecture, production deployment, and ongoing monitoring. Define and govern secure, responsible AI platforms and evaluation frameworks, while guiding technical teams and communicating architecture decisions, risks, and trade-offs to stakeholders.

Job details

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. Role Description: • Own end-to-end AI solution architecture from use-case discovery, feasibility assessment, experimentation, production deployment, and ongoing operational monitoring. • Translate business objectives into AI solution designs by defining AI use cases, decision boundaries, architecture patterns, acceptance criteria, and measurable business outcomes. • Design and govern AI platforms and solutions across foundation models, RAG, agent orchestration, data sources, vector search, APIs, cloud infrastructure, security controls, and human-in-the-loop processes. • Establish AI governance, risk, and evaluation frameworks covering model quality, hallucination, groundedness, security, privacy, responsible AI, compliance, performance, cost, and operational readiness. • Provide technical leadership and architecture assurance by guiding engineering and data science teams, reviewing AI implementations, validating solution effectiveness, and communicating architecture decisions, risks, and trade-offs to business and technology stakeholders Required Skill Set: Enterprise AI Solution Architecture Proven experience designing and delivering end-to-end AI, Generative AI, Machine Learning, RAG, and Agentic AI solutions from use-case discovery through production deployment. Generative AI, RAG & Agentic AI Expertise Strong hands-on knowledge of Foundation Models, Prompt Engineering, Embeddings, Vector Databases, Retrieval-Augmented Generation (RAG), Tool Calling, Agent Orchestration, and AI Guardrails. Cloud AI Platforms & Integration Architecture Experience with Azure AI Services, Azure OpenAI, Model Hosting, APIs, Event-Driven Integration, Containers, Identity & Access Management, and scalable cloud-native AI architectures. MLOps / LLMOps, AI Evaluation & Production Operations Experience defining model evaluation frameworks, observability, monitoring, deployment pipelines, versioning, rollback mechanisms, drift detection, and operational readiness for production AI systems. Responsible AI, AI Security & Governance Strong understanding of AI governance, model risk management, privacy engineering, security controls, human-in-the-loop designs, compliance requirements, AI safety, bias/fairness assessment, and responsible AI practices. Salary Range - CA$ 120,000 - CA$ 150,000 Per annum 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. Thank you for your interest in TCS. Candidates that meet the qualifications for this position will be contacted within a 2-week period. We invite you to continue to apply for other opportunities that match your profile.

What you’ll do

Requirements

The role requires hands-on experience designing and delivering enterprise AI, Generative AI, machine learning, RAG, and agentic AI solutions through production deployment. Candidates should have expertise in cloud AI platforms and integrations, MLOps/LLMOps, production evaluation and monitoring, and responsible AI, security, privacy, and governance.