Senior Agentic AI Architect & Enterprise Orchestrator

Cognizant

New York (NY)

On-site

USD 150,000 - 160,000

Full time

13 days ago

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Benefits offered by this job

Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
401(k) plan and contributions
Long-term/Short-term Disability
Paid Parental Leave
Employee Stock Purchase Plan

Job summary

Cognizant is seeking a Manager to lead the Frontier pod as a mid-senior architect, owning design governance of agentic systems and mentoring Frontier Engineers. You will translate complex requirements into scalable AI solutions, supervise orchestration, and ensure quality across the pod and client engagements.

The role requires 8–12 years of hands-on engineering experience and senior technical advisory capabilities in enterprise AI deployments.

Qualifications

  • 8-12 years of experience required.
  • Experience translating complex requirements into scalable AI solutions.
  • Ability to govern AI orchestration and quality across enterprise platforms.

Responsibilities

  • Design and deploy custom agents and agentic workflows; govern permissions and data access.
  • Architect agentic deployments on enterprise platforms; design trust layer and cross-agent governance.
  • Define AI orchestration architecture, state tool calling and failure mode patterns.
  • Design agentic quality assurance frameworks, test orchestration and synthetic data strategy.
  • Engineer enterprise knowledge bases, ontologies and retrieval pipelines for agent grounding at scale.

Skills

RAG
Microsoft Copilot Studio
Agentic AI
Generative AI
Enterprise Architecture

Education

BE Engineering

Tools

Custom Service

Job description

Cognizant is seeking a Manager to lead the Frontier pod as a mid-senior architect, owning design governance of agentic systems and mentoring Frontier Engineers. You will translate complex requirements into scalable AI solutions, supervise orchestration, and ensure quality across the pod and client engagements.

The role requires 8–12 years of hands-on engineering experience and senior technical advisory capabilities in enterprise AI deployments.

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