About the role
As a Senior Generative AI Engineer, you will make an impact by designing, building and operationalizing AI-enabled engineering solutions. You will develop reusable harnesses, automation workflows and conversational-to-production capabilities that improve software quality and delivery.
You will be a valued member of the technology team and work collaboratively with engineering, architecture, delivery and business stakeholders across greenfield development, brownfield modernization, legacy-system transformation, regulatory and SaaS-conversion initiatives.
In this role, you will:
- Build and harden AI-assisted engineering harnesses using tools such as Windsurf and Claude Code.
- Design and deliver conversational-to-production workflows, from requirements and technical design through development, testing, deployment and production support.
- Automate software testing and solution-delivery processes to improve quality, consistency and efficiency.
- Develop reusable harness skills, templates and frameworks that enable repeatable AI-assisted delivery.
- Create solution-design and technical-design documentation to guide implementation, governance and maintenance.
- Apply commercial generative AI technologies, including Claude, GitHub Copilot and OpenAI GPT models, to address business and engineering challenges.
- Support legacy-system modernization, brownfield initiatives and highly governed regulatory programs.
- Contribute to greenfield development and SaaS-conversion programs.
- Develop AI evaluation, regression-testing and quality-assurance approaches to improve solution reliability.
- Collaborate with stakeholders to translate technical and business requirements into secure, scalable and production-ready solutions.
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 four days a week in a client or Cognizant office in Toronto, Ontario, or Vancouver, British Columbia.
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
- 7+ years of professional experience in software engineering, AI engineering, application development or a related technology discipline.
- Hands-on experience with commercial generative AI technologies, including Claude, GitHub Copilot, OpenAI GPT models or comparable platforms.
- Experience building and hardening AI-assisted engineering harnesses, reusable frameworks or templates.
- Experience designing and delivering conversational-to-production workflows across requirements, technical design, development, testing, validation, deployment and production support.
- Experience automating software testing and solution-delivery processes.
- Ability to create clear solution-design and technical-design documentation.
- Experience supporting legacy-system modernization, brownfield, regulatory or highly governed technology programs.
- Experience contributing to greenfield development, enterprise modernization or SaaS-conversion initiatives.
- Strong understanding of artificial intelligence concepts and their practical application in commercial environments.
- Strong technical communication, documentation and stakeholder-collaboration skills.
These will help you stand out
- Experience developing AI evaluation, regression-testing or quality-assurance harnesses.
- Familiarity with prompt engineering, model evaluation, guardrails and responsible AI practices.
- Experience integrating AI capabilities into enterprise applications and engineering workflows.
- Experience with Java, cloud platforms or enterprise software modernization.
- Experience creating reusable AI skills or templates adopted by multiple engineering teams.
- Experience establishing engineering standards or mentoring engineers.
- Experience delivering AI-enabled solutions in highly regulated enterprise or consulting environments.
Compensation
The annual salary range for this position is $74,250 CAD to $117,500 CAD, plus applicable benefits and other eligible compensation.
The salary offered will depend on factors including experience, skills, qualifications, location, internal equity and business requirements. Cognizant will consider qualified candidates applying in Ontario and British Columbia.
Posting note: Replace the compensation placeholders with the approved salary range before publishing. The range should be realistic, current and aligned with applicable Canadian pay-transparency requirements. Ontario and British Columbia currently require salary or wage information for publicly advertised job postings, subject to applicable exceptions.
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。
