Job Search and Career Advice Platform

Enable job alerts via email!

Technology Lead - Gen AI / Agentic AI

Infosys

Mississauga

On-site

CAD 89,000 - 116,000

Full time

6 days ago
Be an early applicant

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

Job summary

A leading global consulting firm is seeking a Technology Lead to drive the development of next-generation AI solutions in Mississauga. This role requires strong Python programming and familiarity with AI libraries and cloud platforms. The ideal candidate will have over 4 years of IT experience and a Bachelor’s degree in a relevant field. Responsibilities include deploying Gen AI applications, mentoring junior engineers, and optimizing RAG pipelines. Competitive compensation based on market rates.

Qualifications

  • Bachelor’s degree or foreign equivalent required from an accredited institution.
  • At least 4 years of Information Technology experience.
  • 4 years of experience in software engineering or data science, with 2-3 years in Gen AI or LLM-based systems.

Responsibilities

  • Design, develop, and deploy Gen AI applications using LLMs and agentic frameworks.
  • Fine-tune open-source and proprietary LLMs using techniques like LoRA.
  • Integrate Gen AI solutions with cloud-native services.

Skills

Python programming
ML/AI libraries
Experience with vector databases
REST API development
AI governance

Education

Bachelor's degree in Computer Science, AI/ML, or related field

Tools

Hugging Face Transformers
LangChain
PyTorch
Docker
Job description
Job Description

Infosys is seeking a hands‑on Technology Lead – Gen AI / Agentic AI Lead to drive the development and deployment of next‑generation AI solutions using Large Language Models (LLMs), Retrieval‑Augmented Generation (RAG), and Agentic AI frameworks. This role is ideal for a mid‑level engineer with strong technical depth, a passion for building, and the ability to lead small teams or workstreams in a fast‑paced, innovation‑driven environment.

Required Qualifications
  • Candidate must be located within commuting distance of Mississauga, ON or be willing to relocate to the area.

  • Candidates authorized to work for any employer in Canada without employer based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.

  • Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
  • At least 4 years of Information Technology experience

  • Bachelor’s degree in Computer Science, AI/ML, or related field.

  • 4 years of experience in software engineering or data science, with 2–3 years in Gen AI or LLM‑based systems.

  • Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch).

  • Hands‑on experience with vector databases (FAISS, Pinecone, Weaviate, Azure AI Search).

  • Familiarity with cloud platforms and Gen AI services (AWS, Azure, GCP).

  • Experience with REST API development (FastAPI, Flask) and containerization (Docker).

  • Solid understanding of AI governance, model safety, and prompt engineering.

Key Responsibilities
  • Design, develop, and deploy Gen AI applications using LLMs and agentic frameworks (e.g., LangGraph, AutoGen, Crew AI).

  • Fine‑tune open‑source and proprietary LLMs using techniques like LoRA, QLoRA, and PEFT.

  • Build and optimize RAG pipelines with hybrid retrieval, semantic chunking, and vector search.

  • Integrate Gen AI solutions with cloud‑native services (AWS Bedrock, Azure OpenAI, GCP Vertex AI).

  • Work with unstructured data (PDFs, HTML, audio, images) and multimodal models.

  • Implement LLMOps practices including prompt versioning, caching, observability, and cost tracking.

  • Evaluate model performance using tools like RAGAS, DeepEval, and FMeval.

  • Collaborate with product managers, data engineers, and UX teams to deliver production‑ready solutions.

  • Mentor junior engineers and contribute to code reviews, design discussions, and best practices.

Preferred Qualifications
  • Exposure to agentic workflows and autonomous agents.

  • Experience with CI/CD pipelines and DevOps tools (GitHub Actions, Jenkins, Terraform).

  • Familiarity with front‑end integration (React, Angular, TypeScript) and GraphQL APIs.

  • Knowledge of model interpretability, bias mitigation, and human‑in‑the‑loop systems.

  • Experience with multimodal models and perception systems (e.g., vision + language).

The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face‑to‑face.

Estimated annual compensation range for the candidate based in the below location will be:
Ontario: $89004 to $115491

EEO / About Us

Infosys is a global leader in next‑generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI‑powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always‑on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

EEO
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability. Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

Country

Canada

State / Region / Province

Ontario

Work Location

Mississauga, Toronto

Interest Group

Infosys Limited

Domain

Artificial Intelligence, Decision Science

Skillset

Technology|Machine Learning|Python

Company

ITL Canada

Role Designation

835ATLDCD Technology Lead

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.