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Principal Agentic AI Architect

  • Mississauga, ON, Canada

$100,000 to $130,000 CAD / year · Full-time

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Job details

Pay
$100,000 to $130,000 CAD / year
Job type
Full-time
Apply by
Posting language
English
Posted

Original job description

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.

TCS has been serving the Canadian marketplace for more than 35 years and today is the technology partner of choice for many of the country's leading organizations. As one of the largest IT services providers in Canada and globally, TCS is aiming 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 and values of the Tata Group, TCS is focused on creating long-term value for its clients, investors, employees, and the communities it serves. With a highly skilled workforce supporting customers from coast to coast, TCS has consistently been recognized as a Top Employer by the Top Employers Institute, including a recent top ranking at the country level.

TCS also sponsors 14 of the world's most prestigious marathons and endurance events, including the TCS Toronto Waterfront Marathon, reflecting its commitment to health, sustainability, and community

Role Description

  • Bachelors or Masters degree in Computer Science, Artificial Intelligence, Engineering, or related discipline.
  • Good years of software engineering experience, including Good years designing and building enterprise AI/ML platforms.
  • Proven experience architecting and delivering large-scale AI solutions, Agentic AI systems, AI platforms, or multi-agent frameworks in enterprise environments.
  • Deep understanding of the Agentic AI ecosystem including agent orchestration, planning, reasoning, tool calling, memory management, retrieval systems, and autonomous workflows.• Hands-on expertise building AI applications using frameworks and platforms such as Google ADK, LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen, or similar agentic frameworks.• Strong experience designing scalable orchestration layers, tool libraries, context management frameworks, observability solutions, and governance controls for AI systems.
  • Expertise in Retrieval-Augmented Generation (RAG), vector databases, embeddings, enterprise knowledge systems, and document intelligence platforms.
  • Experience designing extensible and reusable AI platform architectures capable of supporting multiple business use cases and domains.
  • Strong software engineering background in cloud-native architectures, distributed systems, APIs, microservices, and platform engineering.
  • Deep understanding of AI observability, monitoring, evaluation frameworks, model governance, security, and responsible AI principles.
  • Exceptional communication and stakeholder management skills with the ability to influence senior technology leaders and architects.Strong understanding of Agile, Waterfall, and Hybrid delivery methodologies.

Salary Range - CA$ 100,000 - CA$ 130,000 Per Year

Note:

TCS does not use artificial intelligence tools for candidate screening or evaluation.

This posting is for a current vacancy

The hiring process includes an initial screening by the TCS Hiring Team, followed by a technical evaluation and managerial discussion conducted by the Business Team, and concluding with the final HR evaluation.

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.

More about this job

Responsibilities

Architect and deliver large-scale enterprise AI solutions, agentic systems, and reusable AI platform architectures. Design orchestration, context management, tool libraries, retrieval systems, observability, governance, and security capabilities to support multiple business use cases.

Requirements

Requires a bachelor's or master's degree in computer science, artificial intelligence, engineering, or a related discipline, along with substantial software engineering and enterprise AI/ML platform experience. Candidates should have deep expertise in agentic AI frameworks, RAG, cloud-native and distributed systems, AI governance and observability, and strong communication and stakeholder management skills.

Skills

  • Agentic AI Architecture
  • Enterprise AI/ML Platforms
  • AI Solution Architecture
  • Agent Orchestration
  • Planning And Reasoning
  • Tool Calling
  • Memory Management
  • LangGraph
  • LangChain
  • Google ADK
  • Retrieval-Augmented Generation
  • Vector Databases
  • Cloud-Native Architecture
  • Distributed Systems
  • AI Observability
  • Responsible AI

Visa sponsorship

Not detected in the job text

Categories

  • Technology
  • Software
  • Data & Analytics
  • Management & Leadership
  • Consulting

Keywords

  • Agentic AI
  • Artificial Intelligence
  • Machine Learning
  • Enterprise AI Platforms
  • AI Architecture
  • Multi-Agent Frameworks
  • Google ADK
  • LangGraph
  • LangChain
  • Semantic Kernel
  • CrewAI
  • AutoGen
  • Agent Orchestration
  • Planning And Reasoning
  • Tool Calling
  • Memory Management
  • Autonomous Workflows
  • Retrieval-Augmented Generation
  • Vector Databases
  • Embeddings
  • Document Intelligence
  • Cloud-Native Architecture
  • Distributed Systems
  • APIs
  • Microservices
  • Platform Engineering
  • AI Observability
  • Model Governance
  • Responsible AI
  • Agile

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