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.
What we offer
- The chance to work with impact. Here, you’re empowered to bring your biggest thinking to help our company and clients improve everyday life.
- Ownership over your career. Stay at the top of your game through our award-winning learning and development ecosystem. And when your ambitions change or we offer new opportunities, we help you pivot by providing reskilling, on-the-job learning and guidance to find new roles that might be a better fit.
- The opportunity to thrive on a high caliber team with heart. We celebrate each other’s experiences and perspectives and promote a sense of belonging through our affinity groups and diversity and inclusion initiatives.
- A comprehensive total rewards package, including a competitive salary and a pension plan with matching contributions.
- Flexible health and financial benefits to support you and your eligible dependents—from day one.
- True work-life balance. Be at your best through paid time off, flexible work arrangements, volunteering opportunities, social events, and so much more.
About us
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, building the bridge 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, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com or @cognizant.
Other employment-related information
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.
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.
