What are the responsibilities and job description for the Gen AI Developer position at Cognizant?
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About The Role
As a Gen AI Developer, 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
We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in Canada. 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 and may change based on business and client requirements.
What You Need To Have To Be Considered
Applications will be accepted until June 19, 2026.
The annual salary for this position is between $88,000 - $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:
About The Role
As a Gen AI Developer, 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
We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in Canada. 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 and may change based on business and client requirements.
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
- 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
Applications will be accepted until June 19, 2026.
The annual salary for this position is between $88,000 - $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
Salary : $88,000 - $135,000