Job description

"Please note, this role is not able to offer visa transfer or sponsorship now or in the future." About the role As an AI/ML Lead, you will make an impact by defining and executing enterprise AI, Machine Learning, and Generative AI strategies that drive innovation, operational efficiency, and measurable business outcomes. You will be a valued member of the Data & AI leadership team and work collaboratively with business stakeholders, data platform teams, architects, governance leaders, and engineering teams to build and scale AI capabilities across the organization. In this role, you will: • Develop and execute enterprise AI, Machine Learning, and Generative AI strategy aligned with business objectives and growth priorities. • Lead the delivery of AI, predictive analytics, machine learning, and agentic AI solutions that address critical business challenges and create measurable value. • Establish AI engineering standards, MLOps practices, model lifecycle management processes, and deployment frameworks to support scalable and reliable AI operations. • Build, mentor, and lead high-performing teams of data scientists, ML engineers, GenAI engineers, and AI architects. • Partner with technology, data, governance, and business teams to enable AI-ready data, ensure responsible AI practices, and drive adoption of AI capabilities across the enterprise. Work model We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants. 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 • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related field. • 10+ years of experience in Data Science, Artificial Intelligence, Machine Learning, Analytics, or AI leadership r oles. • Proven experience delivering enterprise-scale AI, Machine Learning, and Generative AI solutions. • Strong knowledge of Databricks , cloud-based AI services, MLOps frameworks, Large Language Models ( LLMs ), and AI platforms. • Experience establishing model lifecycle management, deployment standards, monitoring practices, and AI governance frameworks. • Demonstrated ability to translate business challenges into scalable AI solutions with measurable business outcomes. • Experience leading cross-functional teams and driving enterprise transformation initiatives. • Excellent executive communication, stakeholder management, and influencing skills. These will help you stand out • Experience with agentic AI , i ntelligent automation , and advanced decision intelligence solutions. • Knowledge of Responsible AI practices, model transparency, regulatory compliance, and risk management frameworks. • Experience measuring AI adoption, productivity improvements, business value realization, and ROI. • Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. • Experience evaluating and implementing emerging AI technologies, partnerships, and innovation programs. • Advanced degree in Artificial Intelligence, Data Science, Computer Science, or a related field. • Relevant certifications in AI, Machine Learning, Databricks, AWS, Azure, or cloud technologies. 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. Applications will be accepted until October 15th, 2026. Salary and Other Compensation: The annual salary for this position is between $119.000 - $135.000 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 • 401(k) plan and contributions • Long-term/Short-term Disability • Paid Parental Leave • Employee Stock Purchase Plan 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. 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. Additional employment information Compensation 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. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview. 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, state or local laws. If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com for roles based in the Americas or CareersIndia2@cognizant.com for roles based in India.

Requirements

Must-haves

"Please note, this role is not able to offer visa transfer or sponsorship now or in the future."
Develop and execute enterprise AI, Machine Learning, and Generative AI strategy aligned with business objectives and growth priorities.
Lead the delivery of AI, predictive analytics, machine learning, and agentic AI solutions that address critical business challenges and create measurable value.
Establish AI engineering standards, MLOps practices, model lifecycle management processes, and deployment frameworks to support scalable and reliable AI operations.
Build, mentor, and lead high-performing teams of data scientists, ML engineers, GenAI engineers, and AI architects.
Partner with technology, data, governance, and business teams to enable AI-ready data, ensure responsible AI practices, and drive adoption of AI capabilities across the enterprise.
What you need to have to be considered
Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related field.
10+ years of experience in Data Science, Artificial Intelligence, Machine Learning, Analytics, or AI leadership r oles.
Proven experience delivering enterprise-scale AI, Machine Learning, and Generative AI solutions.
Strong knowledge of Databricks , cloud-based AI services, MLOps frameworks, Large Language Models ( LLMs ), and AI platforms.
Experience establishing model lifecycle management, deployment standards, monitoring practices, and AI governance frameworks.
Demonstrated ability to translate business challenges into scalable AI solutions with measurable business outcomes.
Experience leading cross-functional teams and driving enterprise transformation initiatives.
Excellent executive communication, stakeholder management, and influencing skills.
These will help you stand out
Experience with agentic AI , i ntelligent automation , and advanced decision intelligence solutions.
Knowledge of Responsible AI practices, model transparency, regulatory compliance, and risk management frameworks.
Experience measuring AI adoption, productivity improvements, business value realization, and ROI.
Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Experience evaluating and implementing emerging AI technologies, partnerships, and innovation programs.
Advanced degree in Artificial Intelligence, Data Science, Computer Science, or a related field.
Relevant certifications in AI, Machine Learning, Databricks, AWS, Azure, or cloud technologies.
Applications will be accepted until October 15th, 2026.

Nice-to-haves

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Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlmachine learningrestawsazure

Platform: cognizant
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave