About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.
By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant’s AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
Job Summary
We are seeking a Senior Manager AI/ML Lead to drive end-to-end machine learning strategy and delivery on Google Vertex AI. The role involves designing, training, deploying, and monitoring scalable ML and Generative AI solutions. You will operate at the intersection of data science, MLOps, and business value creation. This position requires strong leadership to guide teams and influence enterprise AI adoption. A key focus will be building production-grade systems that deliver measurable business impact.
In this role, you will:
· Lead the complete ML lifecycle on Vertex AI including feature engineering, model training, evaluation, deployment, and monitoring.
· Architect scalable MLOps pipelines using Vertex AI Pipelines, Model Registry, and Feature Store.
· Drive adoption of Generative AI solutions including Gemini API, prompt engineering, and RAG-based architectures.
· Collaborate with data engineering teams to ensure robust data pipelines and high-quality training datasets.
· Establish model governance frameworks covering versioning, A/B testing, drift detection, and responsible AI practices.
· Partner with business stakeholders to identify high-impact use cases and translate them into production AI solutions.
· Lead, mentor, and scale AI/ML teams while maintaining high technical standards and conducting model reviews.
· Stay updated with GCP AI advancements and evaluate new capabilities for enterprise implementation.
What you need to have to be considered
· 8+ years of experience in machine learning or data science, including 3+ years delivering production ML on cloud platforms.
· Strong expertise in Google Cloud Vertex AI including custom training, AutoML, pipelines, Feature Store, and Model Registry.
· Proficiency in Python with ML frameworks such as TensorFlow, PyTorch, scikit-learn, or XGBoost.
· Hands-on experience with Generative AI, including prompt engineering, RAG architectures, and LLM evaluation.
· Solid understanding of MLOps practices including CI/CD, model monitoring, data versioning, and containerization (Docker/Kubernetes).
· Degree in Machine Learning, Computer Science, Statistics, or related field; GCP ML Engineer certification is a plus.
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Applications will be accepted until 10 Jun 2026.
Salary and Other Compensation:
The hourly salary for this position is between $[137,500 - 161,500] 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
What we offer
- The chance to work with impact. Here, you’re empowered to bring your biggest thinking to help our company and clients improve everyday life.
- Ownership over your career. Stay at the top of your game through our award-winning learning and development ecosystem. And when your ambitions change or we offer new opportunities, we help you pivot by providing reskilling, on-the-job learning and guidance to find new roles that might be a better fit.
- The opportunity to thrive on a high caliber team with heart. We celebrate each other’s experiences and perspectives and promote a sense of belonging through our affinity groups and diversity and inclusion initiatives.
- A comprehensive total rewards package, including a competitive salary and a pension plan with matching contributions.
- Flexible health and financial benefits to support you and your eligible dependents—from day one.
- True work-life balance. Be at your best through paid time off, flexible work arrangements, volunteering opportunities, social events, and so much more.
About us
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, building the bridge 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, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com or @cognizant.
Other employment-related information
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.
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.
Language requirements vary depending on roles, but 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.
