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BS
SERVICE TECHNICIAN - BRITISH COLUMBIA
BVGlazing Systems
Burnaby, BC
- $65,000 to $75,000 CAD / year
- Full-time
…From Toronto to Texas, we are vertically integrated to design, engineer, manufacture and install the complete building envelope with today’s most ambitious developers. Serving both…
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Mechanical Project Engineer
Arrow Machine And Fabrication Group
Stratford, ON
- Full-time
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Ingénieur(e) d'exécution de projets/Execution Project Engineer
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- Full-time
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Manufacturing Engineer
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- $90,000 to $105,000 CAD / year
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Added 15 mins ago
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Senior Application Security Engineer
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- Full-time
The Senior Application Security Engineer is responsible for helping secure the Paymentus SaaS platform by partnering directly with software engineering, product, cloud infrastructure,…
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Administrative Assistant
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Purchasing Agent, Senior
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Added 30 mins ago
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Added 59 mins ago
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Tata Consultancy Services

Agentic AI Engineer

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: Dec 3, 2026
Experience: Senior years of software engineering experience, including 5+ years designing and building enterprise AI/ML platforms.
Posting language: English
Posted: Nov 3, 2026

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 empowerment.

Job Description :-

Must-Have

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Engineering, or related discipline.

Senior years of software engineering experience, including 5+ years designing and building enterprise AI/ML platforms.

Proven experience developing 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.

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

Good-to-Have

Working knowledge of Glean or similar enterprise document intelligence and knowledge management platforms.

Experience developing enterprise AI accelerators, reusable frameworks, and agentic platforms supporting large-scale business adoption.

Experience with multi-cloud AI ecosystems including Google Cloud, Azure AI, AWS AI, and OpenAI-based solutions.

Exposure to AI governance, model risk management, compliance, privacy, and enterprise security controls.

Key Roles & Responsibilities

Evolve the existing agent framework into a scalable, extensible, and enterprise-grade agentic platform aligned with future business needs.

Define and own the end-to-end development covering orchestration, tool integration, memory management, context management, document intelligence, observability, security, and governance.

Provide technical leadership and hands-on engineering guidance across all components of the Agentic AI platform.

Design reusable services, frameworks, and platform capabilities to accelerate onboarding of new AI use cases and business domains.

Establish development standards, reference patterns, engineering best practices, and platform roadmaps.

Evaluate emerging Agentic AI technologies, frameworks, and industry trends, recommending strategic enhancements to the platform.

Mentor engineering teams and serve as a thought leader for enterprise Agentic AI strategy and platform evolution.

Provide clear portfolio reporting on delivery, financial position, risks, resource constraints, outcomes, and required actions.

Coordinate across program, finance, technology, business, risk, control, and vendor teams to validate data and resolve issues.

Drive initiative prioritization and trade-off recommendations based on strategic value, funding, capacity, risk, and readiness.

Standardize portfolio practices and prepare concise executive dashboards, presentations, and briefing materials.

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.

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More about this job

Responsibilities

Evolve and lead the development of a scalable, enterprise-grade Agentic AI platform, including orchestration, integrations, memory and context management, document intelligence, observability, security, and governance. Establish reusable platform capabilities and engineering standards, guide and mentor teams, evaluate emerging technologies, and coordinate portfolio reporting, prioritization, and cross-functional delivery.

Requirements

Requires a bachelor's or master's degree in computer science, artificial intelligence, engineering, or a related discipline, along with senior software engineering experience and at least five years designing and building enterprise AI/ML platforms. Candidates should have proven enterprise-scale AI and agentic systems experience, expertise in agent frameworks, RAG, vector databases, observability, governance, and security, and strong communication and stakeholder-management skills.

Skills

Agentic AI
Enterprise AI/ML Platforms
AI Solution Development
Agent Orchestration
Planning And Reasoning
Tool Calling
Memory And Context Management
LangGraph
LangChain
Google ADK
Retrieval-Augmented Generation
Vector Databases
Document Intelligence
AI Observability
Model Governance
Technical Leadership

Visa sponsorship

Not detected in the job text

Keywords

Agentic AI
Artificial Intelligence
Machine Learning
Enterprise AI Platforms
Multi-Agent Frameworks
Agent Orchestration
Planning
Reasoning
Tool Calling
Memory Management
Context Management
Google ADK
LangGraph
LangChain
Semantic Kernel
CrewAI
AutoGen
Retrieval-Augmented Generation
Vector Databases
Embeddings
Enterprise Knowledge Systems
Document Intelligence
AI Observability
Evaluation Frameworks
Model Governance
Responsible AI
Google Cloud
Azure AI
AWS AI
OpenAI

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