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.
Over Cognizant
Cognizant (NASDAQ: CTSH) is een bouwer van AI-oplossingen en een leverancier van technologiediensten. Wij slaan de brug tussen AI-investeringen en ondernemingswaarde door het bouwen van full-stack AI-oplossingen voor onze klanten. Onze diepgaande kennis van sectoren, processen en engineering stelt ons in staat om de unieke context van een organisatie te verankeren in technologische systemen. Deze systemen versterken het menselijk potentieel, realiseren tastbare resultaten en geven wereldwijde ondernemingen een voorsprong in een snel veranderende wereld. Ontdek hoe op cognizant.ai of @cognizant.
Aanvullende arbeidsinformatie
De informatie over de beloning is correct op de datum van deze vacature. Cognizant behoudt zich het recht voor om deze informatie op elk moment te wijzigen, met inachtneming van de toepasselijke wetgeving.
Van sollicitanten kan worden verwacht dat zij gesprekken bijwonen, persoonlijk of via een videogesprek. Daarnaast kan van kandidaten worden gevraagd om tijdens elk gesprek een geldig, door de overheid uitgegeven identiteitsbewijs (zoals een identiteitskaart of paspoort) te tonen.
Cognizant is een werkgever die gelijke kansen biedt. Je sollicitatie en kandidatuur worden niet beoordeeld op basis van ras, huidskleur, geslacht, religie, levensovertuiging, seksuele geaardheid, genderidentiteit, nationale afkomst, handicap, genetische informatie, zwangerschap, veteranenstatus of enige andere eigenschap die wordt beschermd door federale, regionale of lokale wetgeving.
