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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data & AI Solution Architect - AWS Cloud Platforms - **Company:** Tata Consultancy Services Limited - **Location:** Edison, NJ, United States - **Experience:** Expert - **Salary:** $132,000.0 - $178,250.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Business Analytics Applications, Data Analysis, Cloud Computing, Cloud Database, Databases, Data as a Services, Data Architecture, Information Engineering, Data Governance, Dataspaces, Distributed Computing Environment, Machine Learning, Performance Tuning, Azure Machine Learning, Search Technologies, Data Streaming, Enterprise Data Management, Data Ingestion, Large Language Models, Multi-Agent Systems, Apache Spark, Generative AI, Data Lakes, AI Platforms, Data Analytics, AWS Data Analytics, Data Management, Machine Learning Operations, Virtual Agents, Functional Programming, Databricks - **Published:** May 16, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=811dd7a3eedaa479 ## About the Role Do you have experience in Solution architecture design?, * 10-15+ years of experience in data architecture, analytics, or AI/ML engineering, with strong focus on AWS. * Proven experience designing and delivering enterprise data lakes, analytics platforms, and AI solutions on AWS. * Strong hands-on knowledge of AWS data services, AI/ML services, and distributed data processing frameworks. * Experience with cloud data migration, modernization, and large-scale platform implementation. * Ability to translate com plex technical architectures into business outcomes. Preferred Attributes * Experience with GenAI, LLMs, vector search, and agentic AI patterns on AWS. * Industry experience in Life Sciences, Healthcare, Manufacturing, Financial Services, or Transportation. * Familiarity with Databricks on AWS and third-party data ecosystems. * AWS certifications such as Data Analytics, Machine Learning, or Solutions Architect. ## Description The Data & AI Architect (AWS) is responsible for designing and delivering enterprise-grade data platforms and AI-enabled solutions on Amazon Web Services (AWS). This role provides architectural leadership across data engineering, analytics, machine learning, and generative AI, supporting large-scale cloud modernization and AI-led transformation programs. The architect partners with Sales, Industry Teams, Cloud Architects, and Delivery to shape scalable, secure, and cost-effective AWS data and AI architectures that align to client business objectives and TCS's AI.Cloud and AWS partnership strategy., * Architect end-to-end AWS data platforms including data lakes, lakehouse architectures, streaming platforms, and analytics layers. * Design solutions using AWS services such as Amazon S3, Glue, Athena, Redshift, EMR/Spark, Kinesis, Lambda, and managed databases. * Define data ingestion, transformation, and orchestration patterns (batch, streaming, real-time) for large-scale enterprise workloads. * Establish data governance, security, and access-control frameworks aligned with enterprise and regulatory standards. AI, ML & GenAI Architecture * Design and guide implementation of AI/ML solutions on AWS, including model development, training, deployment, and lifecycle management. * Architect GenAI and agentic AI solutions leveraging AWS services such as Amazon Bedrock, SageMaker, vector databases, and AI orchestration platforms. * Define MLOps and LLMOps patterns for scalable, reliable, and cost-efficient AI operations. * Ensure Responsible AI practices including security, privacy, explainability, and governance. Solution Shaping & Client Engagement * Partner with Sales and Solution Architects to shape data and AI solution strategies for proposals and large AWS pursuits. * Translate business requirements into scalable AWS data and AI architectures with clear value articulation. * Engage with client stakeholders (Data Leaders, Analytics Heads, AI Leads) to act as a trusted technical advisor. Delivery & Architecture Governance * Provide architectural oversight during delivery to ensure adherence to approved designs and best practices. * Mentor data engineers, ML engineers, and platform teams on AWS data and AI patterns. * Support performance tuning, cost optimization (FinOps), and operational readiness of AWS data and AI platforms. AWS Alliance & Innovation * Align architectures to AWS Well-Architected Framework and AWS data & AI best practices. * Collaborate with AWS teams on joint innovation initiatives, accelerators, and PoCs. * Contribute to reusable assets, reference architectures, and industry-specific data & AI offerings for AWS. ## Related Videos - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [WeAreDevelopers LIVE - CSS is DOOMed](https://www.wearedevelopers.com/videos/1838-wearedevelopers-live-css-is-doomed) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Hate organising your photos? 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