AI Engineer

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.

Job Description:-

Key Responsibilities

AI/LLM Engineering & RAG Systems

• Design and build end-to-end RAG pipelines (data ingestion embedding retrieval inference)

• Develop LLM-powered applications and multi-agent systems (ReAct, LangChain, LangGraph)

• Implement:

o Vector indexing & semantic search (Azure AI Search, VectorDBs)

o Hybrid retrieval (vector + keyword search)

o Prompt engineering and LLM orchestration

• Build automated evaluation frameworks (RAGAS, ROUGE, etc.) for model quality and performance

2. Backend & API Development

• Develop scalable microservices and APIs using Python (FastAPI/Flask preferred)

• Build services for:

o Data ingestion and normalization

o Embedding pipelines

o Inference orchestration

o Feedback and evaluation systems

• Integrate LLM services with enterprise data systems and APIs

3. Data Engineering & Pipelines

• Design and optimize pipelines using:

o Azure Data Factory, Azure Functions, Eve ntHub/Service Bus

o Data lakes, warehouses, and vector stores

• Handle:

o Structured + unstructured data ingestion

o Document processing, chunking, and metadata enrichment

• Implement secure data handling, PII masking, and governance controls

4. Azure AI & Cloud Engineering

• Build and deploy solutions using:

o Azure OpenAI / Azure AI Studio

o Azure Cognitive Search

o Azure ML / Databricks / Fabric

• Implement:

o Secure access (Azure AD, Managed Identity, Key Vault)

o Scalable distributed systems for inference workloads

5. MLOps, DevOps & Productionization

• Develop and maintain:

o CI/CD pipelines (Azure DevOps, GitHub Actions)

o Infrastructure as Code (Terraform)

• Implement:

o Model monitoring, evaluation, and retraining pipelines

o Performance tuning and load testing for LLM systems

• Containerization & orchestration using Docker/Kubernetes

6. Architecture & Technical Leadership

• Contribute to:

o Architecture diagrams (C4, sequence diagrams)

o API contracts and system design

• Provide technical guidance on:

o GenAI solution design patterns

o Agentic AI systems and orchestration strategies

• Collaborate cross-functionally with stakeholders and client teams

Required Skills & Experience

Core Technical Skills

• 6+ years of experience in AI/ML Engineering or Backend Development

• Strong Python expertise (FastAPI, ML/AI frameworks)

• Deep experience with:

o LLMs, Generative AI, NLP

o RAG architectures and vector databases

• Hands-on experience with:

o Azure AI stack (Azure OpenAI, Cognitive Search, AI Studio)

• Experience with:

o LangChain / LangGraph / Agent frameworks

o Embedding pipelines and semantic search

Systems & Engineering

• Strong understanding of:

o Distributed systems and microservices

o Event-driven architectures and async workflows

• Experience with:

o REST APIs, backend systems, and cloud-native design

o Databases (SQL, NoSQL, VectorDBs)

MLOps & Deployment

• Experience with:

o Model deployment, monitoring, and lifecycle management

o CI/CD and containerization (Docker/K8s)

• Familiarity with evaluation metrics for LLM systems (RAGAS, ROUGE, etc.)

Nice to Have

• Experience with:

o Multi-agent systems (ReAct, autonomous agents)

o Knowledge graphs / GraphRAG

o SharePoint Graph API & enterprise integrations

• Background in:

o Financial services, insurance, healthcare, or enterprise analytics

• Experience leading AI teams or large-scale projects

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.

Location

Toronto, ON

Job Function

TECHNOLOGY

Role

Engineer

Job Id

418581

Desired Skills

Artificial Intelligence