Aws Data And Ai Solution Architect

Tata Consultancy Services; Chicago (IL); On-site; USD 132,000 - 178,000; Full time

Job summary

Tata Consultancy Services Limited in Chicago seeks a Data & AI Architect (AWS) to lead enterprise data platform and AI/ML initiatives on AWS. You will shape scalable, secure, cost-efficient architectures across data engineering, analytics, and generative AI.

Collaborating with Sales, Industry Teams and Delivery, you will translate business needs into practical AWS solutions, mentor engineers, and drive governance, FinOps, and responsible AI practices in large cloud modernization programs.

Qualifications

• Strong expertise in enterprise data architectures on AWS
• Experience delivering data lakes and analytics platforms on AWS
• Proficiency with AI/ML on AWS and GenAI architectures

Responsibilities

• Architect end-to-end AWS data platforms including data lakes, lakehouse, streaming, and analytics layers
• Design solutions using AWS services (S3, Glue, Athena, Redshift, EMR/Spark, Kinesis, Lambda)
• Define data ingestion, transformation, and orchestration patterns for large enterprise workloads
• Establish data governance, security, and access controls aligned with standards
• Design and guide AI/ML solutions on AWS including training, deployment, and lifecycle management
• Architect GenAI solutions leveraging Bedrock, SageMaker, and vector databases
• Define MLOps/LLMOps patterns for scalable AI operations
• Ensure Responsible AI practices including security, privacy, explainability, governance
• Engage with Sales and Solution Architects to shape data/AI strategies for proposals
• Translate business requirements into scalable AWS data/AI architectures with value articulation
• Mentor data/ML engineers and platform teams on AWS patterns
• Provide architectural oversight during delivery and optimize performance and cost
• Align architectures to AWS Well-Architected Framework and drive reusable assets

Skills

Cloud Architecture

Data Architecture

AWS

Tools

Amazon S3

Glue

Athena

Redshift

EMR/Spark

Kinesis

Lambda

Bedrock

SageMaker

Job 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.

Key Responsibilities

• AWS Data Platform Architecture
  • 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.

Required Experience & Qualifications

• 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.

Salary Range: $132,000-$178,250 a year

Location: Chicago, IL

Function: CONSULTANCY

Role: Solution Architect

ID: 434910

Skills: Cloud Architecture

Salary Range: $132,000 - $178,250