Technology Lead - AI Lead Developer

Infosys Limited; Mississauga; Hybrid; CAD 93,000 - 123,000; Full time

Job summary

Infosys Canada is seeking an AI Lead Developer to lead the architecture, development, and deployment of enterprise Generative AI solutions. You will blend hands-on Python engineering with expertise in Agentic AI, RAG, and prompt engineering while guiding cross-functional teams and coordinating with business units, data, security, and platform architects.

The role requires proximity to Toronto/Mississauga, Ontario, with potential travel.

Qualifications

• Bachelor’s degree or foreign equivalent required; may consider 3 years of progressive experience in lieu of each year of education.
• At least 4 years of IT experience.
• Authorized to work in Canada without employer-based visa sponsorship.

Responsibilities

• Lead architecture, development, and production deployment of enterprise Generative AI solutions.
• Hands-on Python engineering with focus on AI evaluation and tool use.
• Guide development teams and collaborate with business, data, security, architecture, and platform stakeholders.

Skills

Python

Agentic AI

RAG

Prompt engineering

AI evaluation

Architecture leadership

FastAPI

Pydantic

LangChain

LangGraph

Education

Bachelor's degree

Foreign equivalent

Tools

FastAPI

Pydantic

LangChain

LangGraph

LlamaIndex

Semantic Kernel

Job description

PYTHON|Technology|Artificial Intelligence|Artificial Intelligence - ALL, Technology|data science

Domain

Delivery

Interest Group

Company

ITL Canada

Requisition ID

153526BR

Infosys is seeking a AI Lead Developer. In this exciting role, you will lead the architecture, development, and production deployment of enterprise Generative AI solutions. You will combine hands-on Python engineering with expertise in Agentic AI, Retrieval-Augmented Generation (RAG), prompt engineering, and AI evaluation, while guiding development teams and collaborating with business, data, security, architecture, and platform stakeholders.

Required Qualifications

• Candidate must be located within commuting distance of Toronto/Mississauga, Ontario or be willing to relocate to the area. This position may require travel.
• 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.
• 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.

Infosys is seeking a AI Lead Developer. In this exciting role, you will lead the architecture, development, and production deployment of enterprise Generative AI solutions. You will combine hands-on Python engineering with expertise in Agentic AI, Retrieval-Augmented Generation (RAG), prompt engineering, and AI evaluation, while guiding development teams and collaborating with business, data, security, architecture, and platform stakeholders.

Required Qualifications

• Candidate must be located within commuting distance of Toronto/Mississauga, Ontario or be willing to relocate to the area. This position may require travel.
• 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.
• 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.

Preferred Qualification

• A minimum of 8 years of software development experience, including strong hands-on Python development and delivery of enterprise-grade applications.
• Strong theoretical and practical understanding of Generative AI concepts, including Large Language Models (LLMs), Small Language Models (SLMs), embeddings, context management, prompt engineering, structured outputs, and model selection.
• Hands-on experience designing and implementing Agentic AI solutions, including tool use, function calling, planning, memory, orchestration, multi-agent workflows, confidence thresholds, exception handling, and human-in-the-loop controls.
• Strong experience building Retrieval-Augmented Generation (RAG) solutions, including document ingestion, chunking, embedding generation, vector indexing, semantic or hybrid retrieval, reranking, grounding, citation validation, and access-control alignment.
• Experience creating evaluation frameworks for LLM, RAG, and agentic systems using golden datasets, offline benchmarks, regression tests, LLM-as-judge approaches where appropriate, and online quality metrics.
• Knowledge of model quality and safety assessment, including relevance, groundedness, faithfulness, hallucination detection, retrieval quality, task completion, latency, cost, and reliability.
• Knowledge of AI security and Responsible AI practices, including prompt-injection protection, data privacy, secure tool access, least-privilege authorization, auditability, harmful-output controls, bias considerations, and AI guardrails.
• Strong Python development skills with experience building scalable APIs, services, and AI workflows using modern frameworks such as FastAPI and Pydantic.
• Practical experience with Generative AI and agent orchestration frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or equivalent technologies.
• Experience integrating AI solutions with enterprise platforms, APIs, databases, content repositories, vector databases, cloud services, identity systems, and event-driven applications.
• Experience with cloud-native engineering, containerization, CI/CD, automated testing, observability, prompt and model versioning, monitoring, and production support for AI applications.

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. Extensive travel may be required as per client and project needs.

Estimated annual compensation range for the candidate based in the below location will be:

Ontario: $ 92740 to $ 123375

Additional Required Qualifications

• 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.
• This position may require relocation and/or travel to work/project location.
• Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.

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.