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.
コグニザントについて
コグニザント（NASDAQ: CTSH）は、AI Builderおよびテクノロジーサービスプロバイダーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。 詳細については、cognizant.ai をご覧ください。
雇用に関する追加情報
本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。
Cognizantは機会均等雇用主です。応募および選考において、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、その他連邦法・州法・地方自治体の法律により保護されるいかなる特性に基づく差別も行いません。
