Senior AI Platform Architect & Full-Stack Engineer

Cognizant

New York (NY)

Hybrid

USD 140,000 - 160,000

Full time

3 days ago
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Benefits offered by this job

Medical/Dental/Vision/Life Insurance
Paid holidays and PTO
401(k) plan and contributions
Disability benefits

Job summary

Cognizant is seeking a Principal Full-Stack AI Engineer - Platform Architect to lead the design of a next-generation enterprise AI platform, focusing on core services, orchestration, and governance. You will drive architecture standards and mentor teams in cloud-native practices.

The role emphasizes leadership, delivery of scalable AI capabilities, and collaboration with enterprise stakeholders across NY offices on hybrid days.

Qualifications

  • Proficient in Python and at least one of Go/Java/TypeScript.
  • Experience building and operating large-scale production software platforms.
  • Hands-on with Kubernetes, containers, Terraform, CI/CD, cloud-native architectures.

Responsibilities

  • Design and build core architecture, frameworks, and shared services for enterprise AI platforms and agent ecosystems.
  • Develop scalable AI capabilities including model orchestration, lifecycle management, governance, observability, and memory services.
  • Create reusable tools and automation to accelerate AI agent development and deployment.
  • Define best practices for cloud-native engineering, security, CI/CD, IaC, and platform reliability.
  • Mentor engineers and provide technical leadership through architecture reviews.

Skills

Python
Go
Java
TypeScript
Kubernetes
Terraform
CI/CD
Cloud-native architectures
Generative AI
LLMs
Agent frameworks
RAG
Security
Governance
Observability
Leadership

Tools

GCP
GKE
Vertex AI
BigQuery
IAM
MLflow
OpenTelemetry

Job description

Cognizant is seeking a Principal Full-Stack AI Engineer - Platform Architect to lead the design of a next-generation enterprise AI platform, focusing on core services, orchestration, and governance. You will drive architecture standards and mentor teams in cloud-native practices.

The role emphasizes leadership, delivery of scalable AI capabilities, and collaboration with enterprise stakeholders across NY offices on hybrid days.

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