Senior Applied AI Architect & Platform Lead

Tata Consultancy Services

New York (NY)

On-site

USD 120,000 - 140,000

Full time

7 days ago
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Benefits offered by this job

Medical Coverage
Parental Leaves
401K Plan
Training Reimbursement
Vacation & Holidays
Time Off
Legal Assistance

Job summary

Tata Consultancy Services in New York is seeking a Lead Applied AI Engineer to architect and deliver production-grade AI systems that integrate Generative AI, AI agents, and enterprise platforms. You will drive governance, reliability, and responsible AI practices across the organization.

The role emphasizes mentoring engineering teams, establishing engineering best practices, and collaborating across platform, data, and security functions to enable scalable AI solutions in complex business

Qualifications

  • Lead AI engineering experience with enterprise-scale systems.
  • Experience with generative AI, AI agents, and retrieval pipelines.
  • Strong governance and responsible AI practices.

Responsibilities

  • Architect end-to-end AI systems with RAG pipelines and multi-model integrations.
  • Define engineering standards for prompt engineering, testing, and evaluation frameworks.
  • Lead deployment of AI solutions with observability, logging, and reliability practices.
  • Collaborate with platform teams for GPU infrastructure and scalable data storage.
  • Mentor engineers through design reviews, code reviews, and career development.
  • Ensure governance, compliance, and responsible AI principles across projects.

Skills

Lead architecture
Mentor engineers
Responsible AI

Education

Bachelor of Computer Science

Tools

GPU infrastructure

Job description

Tata Consultancy Services in New York is seeking a Lead Applied AI Engineer to architect and deliver production-grade AI systems that integrate Generative AI, AI agents, and enterprise platforms. You will drive governance, reliability, and responsible AI practices across the organization.

The role emphasizes mentoring engineering teams, establishing engineering best practices, and collaborating across platform, data, and security functions to enable scalable AI solutions in complex business

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