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 current 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.

Job Description – Senior AI Engineer (Generative AI / Full‑Stack / Architecture) Role Overview The Senior AI Engineer will lead the design, development, and deployment of enterprise‑scale Generative AI solutions. This role involves ownership of system architecture, agentic workflow design, end‑to‑end GenAI pipelines, and high‑performance backend services. The ideal candidate combines deep engineering expertise with hands‑on experience in LLMs, scalable microservices, and modern software development practices. This position also includes mentoring engineers and driving engineering standards across teams.

Key Responsibilities Generative AI Engineering & Architecture

Lead the

architecture, development, and production deployment





of enterprise-grade Generative AI systems with a focus on scalability, reliability, and performance.

Design and implement

agentic workflows

using LLMs, tools, and orchestration frameworks to enable intelligent autonomous behaviors.

Build and integrate

end‑to‑end GenAI pipelines , including model inference, RAG (Retrieval-Augmented Generation), embeddings, and application consumption via APIs.

Collaborate with data and platform engineering teams to implement

vector search, semantic retrieval, and contextual grounding

for AI‑driven responses.

Apply strong full‑stack engineering skills to build

user‑facing GenAI applications

and robust backend systems.

Develop

scalable microservices

and secure

RESTful APIs

to expose AI and ML capabilities across enterprise applications.

Integrate GenAI functions with front‑end interfaces built using modern web technologies.

Deployment, Operations, & Quality

Lead

model deployment , packaging, performance optimization, and lifecycle management in production environments.

Ensure reliability and quality through

test‑driven development (TDD) , reusable component design, and modern architectural principles.

Drive CI/CD‑based releases, containerized deployments, and DevOps practices for AI‑driven applications.

Provide

technical mentorship

to intermediate engineers and contribute to architectural design reviews.

Champion engineering best practices, coding standards, and continuous improvement within Agile delivery teams.

Required Skills & Technical Expertise

Proficiency in

Python, Java, R, and SQL .

Frontend and full‑stack development experience with

ReactJS, HTML, CSS, and Node.js .

AI / ML & Generative AI

Hands‑on experience with

TensorFlow, Keras, and PyTorch .

Strong foundations in

Generative AI, NLP, and NLU .

Expertise working with

Large Language Models (LLMs)

and





prompt engineering .

Agentic & GenAI Frameworks

Experience with

LangChain

and familiarity with

LangGraph

and

Ollama .

Understanding of

agentic system design , tool use, and workflow orchestration patterns.

Retrieval & Knowledge Foundations

Strong knowledge of

vector databases , RAG pipelines, semantic search, and embedding techniques.

Demonstrated experience in

microservices architecture , service‑oriented design, and building scalable

REST APIs .

Expertise in API‑driven development and integration patterns.

Experience with

model packaging , containerization, deployment pipelines, and operational monitoring.

Hands‑on experience with

GitHub , GitHub Actions, and CI/CD automation.

Familiarity with both

SQL and NoSQL

databases.

Preferred Qualifications

Experience with cloud-based GenAI platforms (Azure OpenAI, AWS Bedrock, Google Vertex AI).

Knowledge of distributed systems, high‑availability architectures, and performance tuning.

Prior experience leading technical initiatives or architectural decision‑making.

Soft Skills

Strong leadership, communication, and mentoring capabilities.

Ability to work across cross‑functional teams in fast‑paced Agile environments.

Strategic thinking with the ability to translate business needs into scalable AI solutions.

Salary Range - CA$ 100,000 - CA$ 120,000 Per Year

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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📌 Job Description – Senior AI Engineer (Generative AI / Full Stack / Architecture) (Winnipeg)
🏢 TATA Consultancy Services
📍 Winnipeg