Gen AI Architect

The posted job opening may be for a Temporary Fixed Term period of time. If the selected applicant is hired as a Temporary Fixed Term employee/associate, their employment with Cognizant will typically be for a period of six to nine months. Any extensions to the temporary employee’s employment period will be solely at the discretion of Cognizant Technology Solutions. About the role
As a Gen AI Architect , you will make an impact by designing and implementing end-to-end artificial intelligence and machine learning solutions that support safe, scalable, and compliant medical device products. You will be a valued member of the AI and data engineering team and work collaboratively with data scientists, engineers, and compliance stakeholders to deliver innovative solutions that meet regulatory and clinical standards. In this role, you will:
Design end-to-end machine learning architectures using AWS AI/ML services and MLOps practices for scalable and secure medical device applications
Develop reusable MLflow-based frameworks for experiment tracking, model versioning, and governance across projects
Build automated ML pipelines using AWS CodePipeline and related services to enable CI/CD for machine learning models
Collaborate with cross-functional teams to translate AI/ML concepts into production-ready solutions aligned with regulatory requirements
Define standards for data ingestion, feature engineering, and model serving to meet performance, reliability, and compliance goals
Optimize deployment of generative AI and traditional ML models on AWS, balancing cost, scalability, and compliance
Implement monitoring strategies for model drift, data drift, and system performance using MLOps tools
Document architectures, decisions, and operational processes to support audits and regulatory reviews
Partner with compliance and quality teams to ensure traceability, validation, and risk management in medical device AI solutions
Promote secure coding and data protection practices for sensitive healthcare data
Review and enhance existing AI/ML solutions to improve scalability, reliability, and clinical safety
Support modernization of legacy systems into AI-driven solutions for improved clinical outcomes
Advise stakeholders on how AI and ML capabilities can enhance medical device offerings responsibly 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 3 days a week in a Cognizant office or client location in Chicago, IL. 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:
9–12 years of experience in AI/ML engineering, solution architecture, or data science
Strong hands-on experience with AWS machine learning services and cloud-native architecture design
Proven expertise in MLOps practices, including MLflow, model lifecycle management, and governance
Experience implementing CI/CD pipelines for ML using AWS CodePipeline or similar tools
Deep understanding of machine learning concepts, including model development, evaluation, and feature engineering
Hands-on experience with generative AI techniques and frameworks
Experience working in regulated environments, preferably in medical devices or healthcare
Strong understanding of data security, compliance, and privacy standards
Ability to communicate effectively with both technical and non-technical stakeholders These will help you stand out:
Experience delivering audit-ready, compliant AI/ML solutions in the medical device domain
Familiarity with regulatory frameworks and validation processes for healthcare technologies
Strong knowledge of responsible AI practices and risk mitigation strategies
Experience designing highly scalable, secure cloud architectures for sensitive data
Ability to bridge innovation with compliance in complex enterprise environments Salary and Other Compensation:
Applications will be accepted until July 2, 2026 .
The hourly salary for this position is between $88/hr - $100/hr 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/Life Insurance

Long-term/Short-term Disability
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.