[Remote] Gen AI Developer

Note: The job is a remote job and is open to candidates in USA. Cognizant is seeking a Gen AI Developer to design and implement artificial intelligence and machine learning solutions for medical devices. The role involves collaborating with cross-functional teams to deliver scalable and compliant AI/ML solutions while ensuring adherence to regulatory standards.

Responsibilities

• 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

Skills

• 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
• 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

Benefits

• Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
• 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

Company Overview

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