Solution Architect - AI Data Engineering Artificial Intelligen

Description :

Role : AI Data Engineer Architect

Location options : San Francisco Bay Area, New York / New Jersey, Atlanta, Chicago, and Dallas.

Preface

The AI - Data Engineering Architect in TCS's Americas region designs and implements robust data infrastructures for enterprise AI and analytics solutions. This client-facing hybrid role ensures that organizational data assets are architected to optimize AI initiatives, supporting various industries including BFSI, Manufacturing, Life Sciences, Telecom, Retail, Travel, and Consumer Goods.

What You Would Be Doing

• Data Architecture Design : Design data flows from source systems to AI / analytics models, creating conceptual and logical architecture diagrams.
• Enterprise Data Assessment : Evaluate client data ecosystems, identify gaps, and recommend modernization strategies for AI readiness.
• Pipeline & ETL Strategy : Define ingestion and processing strategies (batch / real-time), select tools, and outline data transformation workflows.
• Data Storage & Modeling : Architect storage solutions (data lakes, warehouses, vector / graph databases) and design efficient schemas.
• Integration of Heterogeneous Data : Plan integration of structured and unstructured data, ensuring consistency and alignment across systems.
• Quality, Governance, and Security : Implement data quality checks, lineage, compliance, and security measures throughout the architecture.
• Scalability & Performance : Design scalable, high-performance solutions using distributed computing, cloud auto-scaling, and performance tuning.
• Technology Selection & Blueprint : Recommend platforms / tools and create comprehensive reference architecture blueprints.
• Collaborate with AI / Machine Learning Teams : Align data structures with model requirements and coordinate on feature engineering and retrieval pipelines.
• Prototype and Validate : Build proofs-of-concept for pipelines or retrieval solutions to validate approach and refine architecture.
• Industry-Specific Data Solutions : Tailor architectures for domain-specific data types, volumes, and compliance needs.
• Client Engagement & Thought Leadership : Lead workshops, produce documentation, and advise on data strategy and governance.
• Oversee Implementation : Govern solution realization, ensure alignment with designs, and resolve technical challenges during execution.

What Skills Are Expected

Key Technology Capabilities

Salary Range : $131,750 - $178,250 a year

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