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.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
