Please note, this role is not able to offer visa transfer or sponsorship now or in the future.
Gen AI Developer
About the Role
As a Gen AI Developer, you will make an impact by designing, developing, and deploying cutting-edge generative AI solutions that drive meaningful business outcomes. You will be a valued member of the AI & Data Engineering team and work collaboratively with data scientists, architects, and business stakeholders across the organization.
In this role, you will:
• Design, build, and fine-tune generative AI models and LLM-based applications to solve complex business problems.
• Develop scalable data pipelines and ML workflows using Python and libraries such as PySpark, TensorFlow, PyTorch, and Scikit-learn.
• Integrate and optimize AI solutions on cloud platforms (Azure, AWS, or GCP) and big data ecosystems including Hadoop and Spark.
• Collaborate with cross-functional teams to define AI use cases, evaluate model performance, and iterate on solutions.
• Stay current with advancements in generative AI, contribute to best practices, and support knowledge sharing across the team.
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 3-4 days a week in a client or Cognizant office in Toronto, Ontario. 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
• 5+ years of experience in IT related role
• Proficiency in Python and AI/ML libraries including TensorFlow, PyTorch, Scikit-learn, and PySpark.
• Hands-on experience building or fine-tuning generative AI models, large language models (LLMs), or related AI applications.
• Experience with big data ecosystems such as Hadoop and Apache Spark for data processing at scale.
• Practical knowledge of cloud platforms (Azure, AWS, or GCP), including deploying and managing ML workloads.
• Strong understanding of MLOps practices, model versioning, and the full machine learning development lifecycle.
These Will Help You Stand Out
• Experience with prompt engineering, retrieval-augmented generation (RAG), or agentic AI frameworks.
• Familiarity with vector databases, embedding models, and semantic search architectures.
• Exposure to responsible AI principles, model explainability, and governance frameworks.
• Contributions to open-source AI projects or published research in the generative AI space.
• Strong communication skills with the ability to translate complex AI 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.
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。
