Cognizant is hiring an Enterprise Architect to define and implement the end-to-end architecture for our AI Training Data Service (AITDS) platform. You will ensure the platform is scalable, secure, and optimized for enterprise AI readiness through deep technical involvement, from designing blueprints to selecting cloud-native services and guiding implementation.
What You'll Do
- Define the AITDS platform architecture, covering data ingestion, profiling, annotation, validation, governance, and deployment workflows.
- Design modular, API-driven components for integration with enterprise systems and cloud ecosystems.
- Select and integrate services from AWS (S3, Glue, SageMaker, Redshift), Azure (Data Factory, Synapse, Cognitive Services), and GCP (BigQuery, Vertex AI, Dataflow).
- Optimize architecture for cost, performance, and scalability across multiple cloud providers.
- Work closely with engineering teams to implement architecture using containerization (Docker/Kubernetes), microservices, and serverless technologies.
- Define CI/CD pipelines and DevOps practices for platform deployment.
- Architect solutions for high-quality training data generation, annotation, and validation for AI/ML models.
- Ensure compliance with data governance, privacy, and ethical AI standards.
- Identify new tools, products, and partners to accelerate platform development.
- Make informed build vs. buy decisions for data and AI components.
- Introduce advanced techniques like synthetic data generation, automated annotation, and AI-driven data quality checks.
What We're Looking For
- Proven experience designing large-scale, cloud-native platforms.
- Hands-on experience with AWS, Azure, and GCP services and products.
- Strong background in data pipelines, ETL, and big data technologies (Spark, Hadoop).
- Deep understanding of the AI/ML lifecycle and data preparation for model training.
- Expertise in containerization (Docker/Kubernetes), microservices, and API-driven design.
- Experience with CI/CD pipelines and Infrastructure as Code (Terraform, CloudFormation).
- Ability to assess third-party tools and make build vs. buy decisions.
- Ability to guide technical teams and ensure architectural integrity.
Nice to Have
- Experience with AI data platforms, MLOps, and data labeling tools.
- TOGAF or similar enterprise architecture certification.
- Advanced degree in Computer Science, Data Science, or a related field.
Technical Stack
- Cloud: AWS (S3, Glue, SageMaker, Redshift), Azure (Data Factory, Synapse, Cognitive Services), GCP (BigQuery, Vertex AI, Dataflow)
- Infrastructure: Docker, Kubernetes, Terraform, CloudFormation
- Data: Spark, Hadoop
Work Mode
This position operates in a local-country work mode and is open to candidates across PAN India.
Cognizant is an equal opportunity employer.
