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Added 11 hours ago
CT
SECURITY ARCHITECT
Chrome Technologies
Toronto, ON
- Full-time
Evaluate the security of agent frameworks, LLM pipelines, and model-hosting platforms (e.g., Vertex AI, Azure OpenAI).
Added 23 hours ago
CT
SECURITY ARCHITECT
Chrome Technologies
Toronto, ON
- Full-time
Evaluate the security of agent frameworks, LLM pipelines, and model-hosting platforms (e.g., Vertex AI, Azure OpenAI).
Added 1 day ago
CT
SECURITY ARCHITECT
Chrome Technologies
Toronto, ON
- Full-time
Evaluate the security of agent frameworks, LLM pipelines, and model-hosting platforms (e.g., Vertex AI, Azure OpenAI).
Added 1 day ago
L
AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
Build and maintain scalable model training pipelines using distributed training frameworks (PyTorch Distributed, Horovod, Ray Train) and cloud ML platforms (SageMaker, Vertex AI, Azure ML)
Added 1 day ago
S
Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow
Montreal, QC
- Full-time
Added 1 day ago
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Agentic AI Optimization Developer
Equifax
Toronto, ON · CAN - Ontario - Toronto
- Full-time
Familiarity with Google Cloud AI suite (Vertex & Gemini Enterprise Agent Platform) and UiPath ecosystem (Maestro).
Added 1 day ago
CT
SECURITY ARCHITECT
Chrome Technologies
Toronto, ON
- Full-time
Evaluate the security of agent frameworks, LLM pipelines, and model-hosting platforms (e.g., Vertex AI, Azure OpenAI).
Added 2 days ago
JG
GCP Senior Data Engineer
J&M Group
Canada
- Contract
Experience with real-time processing, Vertex AI, or multi-cloud environments.
Added 2 days ago
S
Senior Machine Learning Engineer
ServiceNow
Toronto, ON
- Full-time
The Machine Learning Developer designs, builds, ships, and operates applications whose core behavior is model-driven rather than explicitly authored. The Developer builds the engine behind…
Added 2 days ago
G
AI Bot Developer / Conversational AI Engineer
Genpact
Toronto, ON
- Full-time
Role: AI Bot Developer / Conversational AI Engineer
Added 2 days ago
C
Développeur/Développeuse GenAI / IA Générative | GenAI / Generative AI Developer
Cossette
Montreal, QC
- Full-time
Added 2 days ago
A
SKYWISE AI Automation Developer
Airbus
Waterloo, ON
- Full-time
We are looking for a collaborative and technical AI Automation Developer to partner across value streams and business units to identify, design, and deploy AI-enabled automated workflows.…
Added 2 days ago
A
SKYWISE AI Automation Specialist
Airbus
Waterloo, ON
- Full-time
Google Enterprise: Google Cloud AI, Vertex AI Agents, AppSheet, and Google Workspace integrations.
Added 2 days ago
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Azure Google AI/ML Platform Engineer II
TD
Toronto, ON
- Full-time
…and mentorship. You raise the bar on quality, security, and developer experience for the entire…
Added 2 days ago
K
Director, AI Engineering
KPMG
ON · Toronto, Ontario
- Full-time
…AWS, or Google Cloud services (For example: Foundry, Bedrock, Vertex AI), and demonstrating a strong grasp of model-agnostic architectures leveraging both proprietary and open-weight…
Added 2 days ago
CT
SECURITY ARCHITECT
Chrome Technologies
Toronto, ON
- Full-time
Evaluate the security of agent frameworks, LLM pipelines, and model-hosting platforms (e.g., Vertex AI, Azure OpenAI).
Added 2 days ago
KC
Director, AI Engineering
KPMG Canada
Toronto, ON
- Full-time
…AWS, or Google Cloud services (For example Foundry, Bedrock, Vertex AI), and demonstrating a strong grasp of model-agnostic architectures leveraging both proprietary and open-weight…
Added 2 days ago
CT
SECURITY ARCHITECT
Chrome Technologies
Toronto, ON
- Full-time
Evaluate the security of agent frameworks, LLM pipelines, and model-hosting platforms (e.g., Vertex AI, Azure OpenAI).
Added 3 days ago
M
Digital Agent Developer
McKesson
Mississauga, ON
- Full-time
McKesson is transforming healthcare experiences through AI-powered digital agents. As a Sr. Associate, Digital Agent Developer, you will design, build, test, and continuously improve…
Added 3 days ago
M
Sr. Associate, Digital Agent Developer
McKesson
Mississauga, ON
- Full-time
McKesson is transforming healthcare experiences through AI-powered digital agents. As a Sr. Associate, Digital Agent Developer, you will design, build, test, and continuously improve…
Added 3 days ago
M
Sr. Associate, Digital Agent Developer
McKesson
Mississauga, ON
- Full-time
McKesson is transforming healthcare experiences through AI-powered digital agents. As a Sr. Associate, Digital Agent Developer, you will design, build, test, and continuously improve…
Added 3 days ago
M
Principal AI Software Engineer
Mphasis
Toronto, ON
- Full-time
We are seeking a hands-on AI Engineer / Generative AI Developer to design, develop, test, and deploy enterprise AI applications on Google Cloud Platform (GCP). The ideal candidate will have…
Added 3 days ago
M
Digital Agent Developer
McKesson
Mississauga, ON
- Full-time
McKesson is transforming healthcare experiences through AI-powered digital agents. As a Digital Agent Developer, you will design, build, test, and continuously improve conversational AI…
Added 3 days ago
TC
GenAI Technical Lead
Tata Consultancy Services
Open Hall, NL
- Full-time
Define and implement retrieval-augmented generation (RAG) pipelines using vector databases (e.g., ChromaDB, Pinecone, FAISS, Weaviate, Vertex AI Matching Engine).
Added 3 days ago
DI
Cloud Engineer - Winter 2027 Co-op/Intern
Definity Insurance Company
Waterloo, ON
- Full-time
…observability, and emerging AI technologies, while helping improve developer productivity, platform reliability, and engineering…

Tata Consultancy Services

GenAI Technical Lead

Open Hall, NL, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 14, 2026
Experience: Experience Level: Minimum 7-10 years of total IT experience (at least 2+ years in Generative AI, LLMs, or related AI/ML technologies)
Posting language: English
Posted: Oct 15, 2026

Original job description

GenAI Technical Lead

Experience Level: Minimum 7-10 years of total IT experience (at least 2+ years in Generative AI, LLMs, or related AI/ML technologies)

Should have strong technical expertise in Python, hands-on experience with at least one GenAI framework (LangGraph, LangChain, or Google AI Development Kit), and strong working knowledge of one hyperscaler platform (Google Cloud, Azure, or AWS).
The associate should lead solution design, integrating LLMs into enterprise workflows, mentoring team members, and driving production-grade implementation of GenAI use cases.
Good knowledge of MLOps or DevOps teams to automate model deployment, versioning, and monitoring.

Key Responsibilities:

Solution Design

Design, architect, and implement Generative AI workflows and agents using frameworks such as LangChain, LangGraph, or Google ADK.
Integrate LLMs (e.g., Llama, Gemini, GPT, Claude) into enterprise systems and custom applications.
Define and implement retrieval-augmented generation (RAG) pipelines using vector databases (e.g., ChromaDB, Pinecone, FAISS, Weaviate, Vertex AI Matching Engine).
Architect scalable and secure GenAI microservices leveraging cloud-native components.

Development & Implementation

Lead Python-based development efforts for building prompt orchestration, tool agents, and data pipelines.
Develop and deploy APIs or microservices integrating LLMs with enterprise data sources.
Implement prompt optimization, context management, and model performance tuning.

Cloud Integration

Architect, deploy, and monitor GenAI workloads on one hyperscaler:
GCP (Vertex AI, Document AI, AlloyDB, BigQuery, Cloud Run)
Azure (OpenAI Service, Cognitive Search, Azure ML)
AWS (Bedrock, SageMaker, Lambda, API Gateway)
Manage cloud infrastructure for scaling AI models, ensuring cost efficiency and compliance.

Leadership & Mentoring

Lead a small team of AI engineers and developers.
Conduct code reviews, enforce best practices, and mentor junior engineers.
Collaborate closely with product owners, data engineers, and business stakeholders to translate business needs into technical requirements.
Contribute to internal GenAI capability building and reusable assets for the organization.

Required Skills & Experience:

Core Technical Skills

Python (advanced proficiency; ability to build APIs, pipelines, and modular frameworks).
Hands-on with at least one GenAI framework:
LangChain, LangGraph, or Google ADK (AI Development Kit).
Expertise with LLM integration (OpenAI API, Gemini API, Ollama, Hugging Face, etc.).
Experience with RAG, embeddings, and vector databases.
Familiarity with PEFT, LoRA, or prompt fine-tuning approaches.
Cloud / Hyperscaler Expertise (at least one required)
Google Cloud Platform (GCP) – Vertex AI, Document AI, BigQuery, AlloyDB, Cloud Run, IAM
Azure – Azure OpenAI, Cognitive Search, Azure ML, Azure Functions
AWS – Bedrock, SageMaker, Lambda, API Gateway, DynamoDB

Other Desirable Skills

Knowledge of REST APIs, JSON, and FastAPI/Flask frameworks.
Familiarity with data governance, PII handling, and AI ethics principles.
Understanding of Docker/Kubernetes, CI/CD, and Git-based version control.
Exposure to front-end integration with AI chat agents (React, Streamlit, Gradio, etc.) is a plus.

Location:

Offshore, open to all TCS ODC located areas

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More about this job

Responsibilities

Design and implement production-grade Generative AI workflows, agents, RAG pipelines, and cloud-based microservices integrated with enterprise systems. Lead and mentor a small engineering team, establish development best practices, and collaborate with stakeholders to translate business needs into technical solutions.

Requirements

Requires 7–10 years of total IT experience, including at least 2 years in Generative AI, LLMs, or related AI/ML technologies, along with advanced Python skills and hands-on experience with a GenAI framework. Candidates must have working expertise in at least one major cloud platform and experience with LLM integration, RAG, embeddings, and vector databases; MLOps/DevOps knowledge and team leadership are also expected.

Skills

Python
Generative AI
Large Language Models
LangChain
LangGraph
Google AI Development Kit
Retrieval-Augmented Generation
Vector Databases
Cloud Platforms
Prompt Engineering
MLOps
DevOps
API Development
Team Leadership
Mentoring
Data Governance

Visa sponsorship

Not detected in the job text

Keywords

Python
Generative AI
Large Language Models
LangChain
LangGraph
Google AI Development Kit
Google Cloud Platform
Microsoft Azure
Amazon Web Services
Vertex AI
Azure OpenAI
Amazon Bedrock
Retrieval-Augmented Generation
Embeddings
Vector Databases
ChromaDB
Pinecone
FAISS
Weaviate
Prompt Engineering
PEFT
LoRA
MLOps
DevOps
FastAPI
REST APIs
Docker
Kubernetes
CI/CD
Data Governance

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