Responsibilities:
- Build and maintain scalable batch and streaming data pipelines for ingestion, transformation, and curation
- Design and optimize data models, feature stores, and storage patterns for AI/ML workloads
- Implement DataOps and MLOps automation (CI/CD, data validation, model deployment, monitoring, drift detection)
- Design, build, and optimize agentic AI systems and LLM-powered applications (RAG pipelines, agent orchestration)
- Develop and integrate AI services into secure, production-grade environments
- Design and implement AI systems architecture best practices and standards across the organization
- Build scalable, resilient cloud and on-premise systems for hosting AI/LLM applications
- Provide infrastructure design, optimization, and monitoring support
- Translate business requirements into technical solutions through cross-functional collaboration
- Ensure code quality, system reliability, scalability, and observability
Expectations / Skillset Required:
- Advanced Python proficiency with strong software engineering fundamentals (version control, testing, code reviews)
- Proficiency in SQL and distributed computing (Spark, distributed systems)
- Deep experience with data modeling and feature engineering across the ML lifecycle
- Hands-on experience building LLM applications, RAG pipelines, and agentic AI frameworks (LangChain/LangGraph preferred)
- Expertise designing distributed systems at enterprise scale
- Strong CI/CD and DevOps knowledge (GitHub/GitHub Actions, Docker, Kubernetes)
- Experience with event streaming platforms (Kafka)
- Demonstrated ability to design and deploy hybrid cloud and on-premise systems (AWS, Azure)
- Excellent collaboration and communication skills across engineering, research, and product teams
- Self-directed problem-solving mindset and ability to navigate enterprise complexity
- Master's degree in Computer Science, Software Engineering, or related field with 5+ years in data/software/ML/AI engineering (preferred)
- UI development expertise with React and JavaScript (a plus)
Salary and Other Compensation:
Applications will be accepted until Aug 9, 2026.
The annual salary for this position is between CAD 70,000 – CAD 115,000 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.
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。
