Senior AWS AI Architect for Enterprise AI Solutions

Tata Consultancy Services Limited; Jersey City (NJ); On-site; USD 120,000 - 130,000; Full time

Benefits offered by this job

DiscretionaryAnnual Incentive

Comprehensive Medical Coverage

Parental Leave & Family Support

401K Plan

Job summary

Tata Consultancy Services Limited in Jersey City, NJ is seeking a Solution Architect to define end-to-end AWS architectures for an Enterprise AI Platform. The role emphasizes governance, security, observability, and scalable design across AI agents and model integration.

Candidates should have extensive AWS experience, strong knowledge of security controls, and the ability to communicate architecture decisions to senior stakeholders. On-site role with competitive compensation.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, Cybersecurity, or related field; advanced degree preferred.
• 10+ years technology architecture experience with cloud-native solutions on AWS is expected.

Responsibilities

• Define end-to-end AWS solution architecture aligned to governance, security, and auditability needs.
• Design reference architectures for AI agents, model integration, RAG, orchestration, and API integration.
• Collaborate with enterprise teams to ensure alignment with client standards.
• Embed security requirements into solution design, including IAM, encryption, and logging.
• Drive technology selection, risk mitigation, and platform design decisions.
• Establish reusable cloud patterns and non-functional requirements for performance and resiliency.
• Review designs and implementations for adherence to architecture and controls.

Skills

AWS

Python

AI patterns

Observability

APIs

Terraform

Education

Bachelors in CS

Tools

CloudFormation

Job description

Tata Consultancy Services Limited in Jersey City, NJ is seeking a Solution Architect to define end-to-end AWS architectures for an Enterprise AI Platform. The role emphasizes governance, security, observability, and scalable design across AI agents and model integration.

Candidates should have extensive AWS experience, strong knowledge of security controls, and the ability to communicate architecture decisions to senior stakeholders. On-site role with competitive compensation.