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.
À propos de Cognizant
Cognizant (NASDAQ : CTSH) est un AI Builder et une entreprise de services numériques (ESN) élaborant des solutions complètes d’IA maximisant les investissements pour des résultats concrets. Sa profonde expertise des métiers, des processus et des technologies lui permet d’intégrer dans les systèmes technologiques le contexte unique de chaque organisation de l’ingénierie à la production à l’échelle. Son objectif : améliorer l’efficacité des équipes, créer de la valeur et permettre aux grandes entreprises de rester performantes dans un monde qui évolue rapidement. Pour en savoir plus : cognizant.ai ou @cognizant.
Renseignments suppplémentaires sur l'emploi
Les informations relatives à la rémunération du poste à pourvoir dépendent de la date de publication de l’offre de poste. Cognizant se réserve le droit de modifier ces informations à tout moment, sous réserve des lois applicables.
Cognizant est un employeur soucieux de l'égalité des chances entre candidats. Votre candidature sera étudiée indépendamment de votre race, couleur, sexe, religion, croyances, orientation sexuelle, identité de genre, origine, handicap, informations génétiques, grossesse, statut d'ancien militaire ou de toute autre critère jugé discriminant par les lois européennes ou françaises.
Vous êtes porteur d'un handicap, vous pouvez-nous contacter par courriel [email protected] si vous souhaitez préciser les aménagements nécessaires pour le poste ou les entretiens à venir.
Les candidats peuvent être invités à participer à des entretiens en face à face ou par vidéoconférence. En outre, les candidats peuvent être amenés à présenter une carte d'identité valide lors de chaque entretien.
