About the Job:
Cognizant (NASDAQ:CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.), Cognizant has over 350,000 employees and is recognized for its strong growth and performance metrics, being a member of the NASDAQ-100, S&P 500, Forbes Global 1000, and Fortune 500.
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Job Summary:
The AI Architect will have a minimum of 8 years of experience and be responsible for aligning AI systems with clients' strategic goals. This role involves leveraging past experience in designing and implementing scalable AI architecture, integrating machine learning (ML) pipelines, and optimizing infrastructure for enterprise AI solutions.
Key Responsibilities:
- Support clients’ agile delivery and in-house teams.
- Assist in preparing low-level design documentation, aligned with architecture and functional requirements.
- Provide clear and scalable design recommendations for AI solutions, enabling future enhancements.
- Support scalability and flexibility in AI solution architecture.
- Collaborate with clients’ data science, AI, and governance teams to align AI efforts with broader organizational strategies.
- Assist in developing proof of concept (PoC) AI use cases, including classical data science models and generative large language models tailored to client needs.
- Implement data quality controls to ensure accuracy and consistency of AI-driven insights.
- Help define and document test cases for user acceptance testing.
- Execute quality assurance (QA) activities to promote reliability and accuracy of AI components.
- Coordinate pre-UAT quality checks, including functional, performance, and integration testing with internal stakeholders.
- Document processes and steps for version control, deployment, and rollback procedures.
Qualifications:
- Experience: 8+ years
- Education: Bachelor’s degree in Computer Science, AI, or a related field
- Skills: Machine Learning, Natural Language Processing, MS Fabric, Databricks, MLOps (Docker, Kubernetes, Terraform), Python, SQL, TensorFlow, PyTorch
- Collaboration Tools: Azure DevOps, Confluence
- Strong understanding of software development and coding standards/best practices.
