Back to results

Generative AI Engineer

  • Toronto, ON, Canada
  • Greater Toronto Area, Canada, Canada

$90,000 to $110,000 USD / year · Full-time

Applications open in a new tab.

Job details

Pay
$90,000 to $110,000 USD / 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.

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.

More about this job

Responsibilities

Design, provision, scale, and secure production-grade multi-cloud infrastructure using modular Terraform, CI/CD pipelines, and Kubernetes. Support AI initiatives by enabling RAG systems, secure vector databases, MCP integrations, and AI guardrails.

Requirements

The role calls for experience with Azure and GCP, Terraform, CI/CD tools, Kubernetes, Docker, cloud networking, IAM, and secrets management. Familiarity with MCP, RAG architecture, vector databases, and prompt engineering is desirable; no education or years-of-experience requirement is specified.

Skills

  • Azure
  • Google Cloud Platform
  • Terraform
  • Infrastructure As Code
  • CI/CD
  • GitOps
  • Kubernetes
  • Docker
  • Cloud Networking
  • Identity And Access Management
  • Secrets Management
  • Retrieval-Augmented Generation
  • Vector Databases
  • Model Context Protocol
  • AI Guardrails
  • Prompt Engineering

Visa sponsorship

Not detected in the job text

Categories

  • Technology
  • Software
  • Engineering
  • Data & Analytics

Keywords

  • Azure
  • Google Cloud Platform
  • AWS
  • Terraform
  • Infrastructure As Code
  • Module Development
  • Multi-Region State Management
  • GitHub Actions
  • GitLab CI
  • Jenkins
  • Automated Testing
  • Security Scanning
  • Kubernetes
  • EKS
  • GKE
  • Docker
  • IAM
  • VPC Design
  • HashiCorp Vault
  • Model Context Protocol
  • Retrieval-Augmented Generation
  • Vector Databases
  • Pinecone
  • pgvector
  • Prompt Engineering
  • Document Ingestion
  • Embeddings
  • Vector Search
  • AI Guardrails
  • Multi-Cloud Platform

Report this job