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# Aws Data And Ai Solution Architect

- **Company:** Tata Consultancy Services Limited
- **Location:** Chicago, IL, 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, 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, Agentic-AI, Data Lakes, AI Platforms, Amazon Bedrock, Data Analytics, AWS Data Analytics, Data Management, Machine Learning Operations, Functional Programming, Databricks
- **Published:** October 28, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/88725838/1

## About the Role

* 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 handson knowledge of AWS data services, AI/ML services, and distributed data processing frameworks.
 * Experience with cloud data migration, modernization, and largescale platform implementation.
 * Ability to translate complex technical architectures into business ou tcomes.

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 thirdparty 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 enterprisegrade data platforms and AIenabled solutions on Amazon Web Services (AWS). This role provides architectural leadership across data engineering, analytics, machine learning, and generative AI, supporting largescale cloud modernization and AIled transformation programs.
The architect partners with Sales, Industry Teams, Cloud Architects, and Delivery to shape scalable, secure, and costeffective AWS data and AI architectures that align to client business objectives and TCS's AI.Cloud and AWS partnership strategy., * Architect endtoend 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, realtime) for largescale enterprise workloads.
 * Establish data governance, security, and accesscontrol 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 costefficient 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 WellArchitected 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 industryspecific data & AI offerings for AWS.