Job Title – Gen AI Developer
About the role
As an AI/ML Architect, you will make an impact by designing and delivering scalable, enterprise-grade AI and machine learning solutions that drive meaningful business outcomes. You will be a valued member of the AI & Analytics team and work collaboratively with data scientists, engineers, and business stakeholders to enable innovative, production-ready AI systems.
In this role, you will:
· Design and implement scalable AI/ML architectures aligned with enterprise standards and cloud-native best practices.
· Develop end-to-end machine learning pipelines using MLflow for experimentation, tracking, and model lifecycle management.
· Build and optimize Generative AI and agent-based solutions using leading frameworks and APIs (e.g., OpenAI, Anthropic Claude).
· Establish and implement MLOps/AgentOps practices, including CI/CD pipelines, monitoring, and model governance.
· Collaborate cross-functionally to define data strategies, feature engineering approaches, and deployment patterns for AI solutions.
Work model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3 days per week in a client or Cognizant office in Toronto, ON. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered
· 10–12 years of experience in AI/ML architecture, solution design, and enterprise deployments.
· Strong hands-on expertise with MLflow (experiment tracking, model registry, lifecycle management).
· Proficiency in Python, including API development, asynchronous programming, and AI/ML libraries.
· Experience building Generative AI solutions, including prompt engineering and working with foundation models.
· Solid understanding of MLOps practices, including CI/CD, infrastructure as code, and production model monitoring.
· Experience with AWS services (including CodeCommit) for version control, pipeline orchestration, and cloud-native development.
· Hands-on experience designing and deploying ML systems from experimentation to production environments.
These will help you stand out
· Experience with agent frameworks such as LangGraph, CrewAI, AutoGen, or LangChain.
· Hands-on experience with OpenAI or Anthropic Claude APIs, including agent orchestration and tool usage.
· Experience building Retrieval-Augmented Generation (RAG) pipelines and working with vector databases.
· Familiarity with observability frameworks, evaluation tooling, and model performance monitoring.
· Strong communication skills with the ability to translate complex technical concepts for non-technical stakeholders.
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
Salary and Other Compensation:
Applications will be accepted until July 16, 2026.
The annual salary for this position is between CAD 81,000 – CAD 145,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
· Medical/Dental/Vision/Life Insurance
· Paid holidays plus Paid Time Off
· Long-term/Short-term Disability
· Paid Parental Leave
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Language requirements vary depending on roles, but we ask that all candidates have basic English proficiency for company-wide communications purposes. For roles based in Quebec, professional English proficiency is required, as you’ll deliver services to and collaborate with stakeholders outside the province who may not speak French.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, provincial or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.
