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AI/ML Engineer

00070820442


Job Summary

Adaptive Experience Designer will craft intelligent user journeys that leverage concepts of large language models generative AI platform architecture AI and ML foundations and data science to deliver personalized omnichannel experiences in a hybrid work environment with day shifts and no travel focusing on scalable solutions for global retail vendor management ecosystems and measurable business outcomes.


Responsibilities

  • Design adaptive experience strategies that integrate concepts of large language models and generative AI to deliver highly contextual and personalized journeys across digital touchpoints for global retail vendor ecosystems.
  • Develop detailed interaction flows and service blueprints that translate complex AI and ML capabilities into intuitive experiences that enhance vendor productivity and operational transparency.
  • Create prototypes and experience artifacts that demonstrate how generative AI platform architecture can be used by vendor management stakeholders to make faster and more informed decisions.
  • Collaborate with data science teams to define user centric data models and experimentation plans that ensure recommendations and insights are explainable and trustworthy for business and vendor partners.
  • Align adaptive experiences with enterprise AI platform architecture by specifying experience layer requirements that support scalability reuse observability and responsible AI practices.
  • Analyze qualitative and quantitative user data to refine experience concepts and measure the impact of AI powered features on vendor satisfaction process efficiency and retail supply chain performance.
  • Define clear problem statements and success metrics for each AI driven experience initiative and maintain traceability between business outcomes user needs and technical implementation choices.
  • Facilitate discovery sessions and design workshops with product engineering and operations stakeholders to uncover use cases where generative AI and data science can meaningfully improve vendor management processes.
  • Document experience patterns content guidelines and conversational flows that guide how adaptive interfaces should respond across different scenarios while maintaining compliance and ethical standards.
  • Partner with product managers to build roadmaps where experiential milestones are explicitly linked to data readiness AI model maturity and platform architecture evolution.
  • Review and refine ML powered features before release by validating that stimuli responses and feedback loops align with defined experience principles and reduce friction for users.
  • Coordinate with retail vendor management specialists to ensure that adaptive experiences respect industry practices contractual constraints and operational realities in a hybrid work setting.
  • Champion inclusive and accessible design by ensuring that AI driven interactions accommodate diverse user preferences and reduce cognitive load for vendor and internal stakeholders.


Qualifications

  • Apply deep knowledge of concepts of large language models to design experiences that harness generative capabilities in controlled and purposeful ways aligned to enterprise objectives.
  • Use understanding of generative AI platform architecture to collaborate effectively with engineers on topics such as orchestration observability safety controls and integration with retail systems.
  • Demonstrate strong grounding in AI and ML concepts including supervised and unsupervised learning model evaluation and feedback loops to inform experience design decisions.
  • Leverage data science expertise to interpret analytical outputs define relevant metrics and design user journeys that promote continuous learning and model improvement.
  • Draw on vendor management retail exposure to craft workflows and information architectures that reflect typical vendor lifecycles performance evaluations and dispute resolution processes.
  • Communicate complex technical ideas in simple and actionable terms to multidisciplinary teams enabling shared understanding of how adaptive experiences will be implemented and measured.
  • Operate effectively in a hybrid work model using digital collaboration tools to co create artifacts document decisions and maintain alignment across geographically distributed stakeholders.
  • Maintain strong attention to detail and structured thinking developed over ten to fourteen years of professional experience in experience design AI enabled solutions or related fields.

Things to know before you apply

  • Work authorization: Cognizant will only consider applicants for this position who are legally authorized to work in Canada without requiring employer sponsorship, now or at any time in the future.
  • Accommodations: 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.
  • AI in hiring: We use artificial intelligence (AI) tools to help us screen and assess applications more efficiently. Our team performs additional human review and ultimately decides who moves forward in our hiring process.
  • Open position: Unless otherwise stated, this job posting is for an open position on our team.
  • Language proficiency: 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.
  • Inclusion: 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.

About Cognizant
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap 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, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.

Benefits that help you thrive and grow

Our benefits program is built with you in mind—so you can enjoy a fulfilling, balanced and healthy life.

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Financial wellbeing

We regularly review market data to ensure compensation reflects the value you bring. Your benefits extend beyond pay and may include financial education, a pension plan with matching contributions, etc.

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Physical and mental health

We empower you to prioritize your wellbeing through paid time off, flexible working where possible, healthcare plans, counselling, our Mental Health Allyship program and more. 

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Your career, your way

With 350,000+ roles at Cognizant, you’ll have opportunities explore new technologies, industries and locations—and build the skills you need to grow your career.

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Real-world impact

Think about the biggest brands you rely on. Chances are, they rely on us to help strengthen their business. Here, you’ll turn bold ideas into solutions that improve lives everywhere.

Your path to Cognizant

Here’s what you can expect from our hiring process. Please keep in mind that it may vary by role and location. Explore our FAQs to learn more.

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Step 1: Apply to the right opportunity

Find an open role that matches your skills and career goals and show us why you’re the person for the job. Don’t see the right opportunity? Consider joining our Talent Community.

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Step 2: Connect with your recruiter

If one of our recruiters sees a fit, they’ll set up a short intro call to learn more about you and how your experiences and skills match the role.

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Step 3: Show off your skills

If you and our team would like to continue the process, you’ll interview with our hiring team. Some roles may also require technical assessments and/or client interviews.

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Step 4: Decision time

Our team will then review each candidates’ potential to succeed in the role. This step may take some time because we want to find the right fit for both you and us—but you can count on us to keep you updated.

CAN Brigitte
Cognizant is great for those wanting to make the world a better place, as we create solutions with top technology partners to address complex problems for our clients.
Brigitte Roy Director of Strategy Alliances
CAN Rahul
I’m supported by motivational leaders who empower me to grow in my career through learning programs, industry conferences and internal job moves. I’m proud of the career progression I’m making here.
Rahul Sathe Principal Product Architect – Insurance
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The moment I joined Cognizant, I felt like I belonged. I was heard and empowered to challenge ideas—and I still am to this day.
Dr. Amita Oppal Gill Service Line Sales Manager
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Cognizant has one of the best learning ecosystems you can ask for. From sponsored certifications to training platforms to mentorship, we have all that we need to grow.
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