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Posted 24 days ago

Generative AI Engineer

@ Tata Consultancy Services

Toronto, Ontario

Full-time
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Overview

Tata Consultancy Services is hiring a Generative AI Engineer, a full-time role building multi-cloud infrastructure on Azure and GCP with Terraform, CI/CD and Kubernetes, while supporting AI initiatives such as RAG systems, vector databases and MCP integrations. The hiring process includes an initial screening, a technical evaluation and a managerial discussion. The stated salary range is CA$90,000 to CA$110,000 per year.

Responsibilities:

  • Design, scale and secure multi-cloud platforms on Azure and GCP
  • Write modular Terraform code and build CI/CD pipelines
  • Configure containerized environments in Kubernetes
  • Provision infrastructure for RAG systems and vector databases
  • Implement AI guardrails and support RAG solution implementation

Requirements summary:

  • Hands-on experience with Azure or Google Cloud Platform
  • Terraform, including module development and multi-region state management
  • CI/CD tools such as GitHub Actions, GitLab CI or Jenkins
  • Kubernetes (EKS/GKE) and Docker
  • IAM policy enforcement, VPC design and secrets management
  • Nice to have: RAG, vector databases, MCP and prompt engineering

Tools & skills

Source and dates

Source type not verified · apify-linkedin

Employer posting date
2026-10-18
First seen by our source
2026-11-11
Source record updated
2026-11-11

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

DepartmentSoftware development
Hours per week40 (estimated)
Work settingOffice
PositionMostly sitting
Physical demandsphysical low · computer high

Summary and details written by AI from the posting; the employer’s posting is the authority.

Tata Consultancy Services

FieldValue
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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.

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

• Cloud Platforms: Azure and Google Cloud Platform (GCP)

• Infrastructure as Code (IaC): Terraform (including module development and multi-region state management)

• CI/CD & GitOps: GitHub Actions, GitLab CI, or Jenkins (with automated testing and security scanning)

• Containerization & Orchestration: Kubernetes (EKS/GKE) and Docker

• Core Networking & Security: IAM policy enforcement, VPC design, and Secrets Management (e.g., HashiCorp Vault)

• AI/ML Concepts (Nice-to-Have): Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG) architecture, Vector Databases (e.g., Pinecone, pgvector), and Prompt Engineering fundamentals.

Roles & Responsibilities

• Develop, design, scale, and secure our high-performance multi-cloud platform. In this role, you will take full ownership of provisioning robust, production-grade cloud environments while helping to build the operational foundation for our next-generation AI integrations.

• You will act as the bridge between traditional cloud operations and modern AI enablement. Your day-to-day will focus on writing clean, modular Terraform code for AWS and GCP, building highly efficient CI/CD pipelines, and configuring containerized environments in Kubernetes.

• Additionally, you will play a key role in supporting our engineering team's AI initiatives. This includes helping to provision infrastructure for Retrieval-Augmented Generation (RAG) systems, managing secure vector databases, and implementing standard integrations like the Model Context Protocol (MCP) to safely connect LLMs to our internal data services.

• Assist with implementing AI guardrails and validation mechanisms to support secure and responsible AI usage.

• Support implementation of RAG (Retrieval-Augmented Generation) solutions, including document ingestion, embeddings, vector search, and response generation.

Salary Range - CA$ 90,000 - CA$ 110,000 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.

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