Hybrid Gen AI Architect for Enterprise Platforms

Cognizant

Charlotte (NC)

Hybrid

USD 140,000 - 190,000

Full time

2 days ago
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Job summary

Cognizant is seeking an experienced Enterprise Generative AI Architect to lead architecture, design, and delivery of AI solutions across programs. You will craft scalable cloud-native architectures using LLMs, AI agents, and microservices, and guide AI-enabled software engineering with cutting-edge tools.

You will mentor teams in AI platform engineering, responsible AI practices, and modern DevOps/CI-CD, spanning AWS services and Bedrock.

Qualifications

  • Experience designing enterprise Generative AI solutions.
  • Proven ability to lead architecture discussions and influence technology strategy.
  • Strong knowledge of LLMs, AI agents, and prompt/context engineering.
  • Experience with cloud-native architectures on AWS and modern cloud services.
  • Familiarity with DevOps, CI/CD automation, and engineering productivity tools.

Responsibilities

  • Lead architecture, design, and implementation of enterprise Generative AI solutions.
  • Design scalable, cloud-native architectures using LLMs, AI agents, APIs, and microservices.
  • Build and deploy AI-powered applications using GPT, Claude, Gemini, and related tools.
  • Drive AI-assisted software engineering and increase delivery velocity with AI tooling.
  • Architect solutions leveraging AWS, Bedrock, and cloud technologies.
  • Establish best practices for AI platform engineering and responsible AI adoption.
  • Collaborate with stakeholders to define AI strategies and roadmaps.
  • Provide technical leadership and mentor engineering teams on AI platforms.

Skills

Generative AI
LLMs
AI Agents
Prompt Engineering
Context Engineering
Cloud-native
APIs
Microservices
DevOps
CI/CD
Leadership

Tools

AWS
GitHub Copilot
AWS Bedrock
AI development tools
APIs

Job description

Cognizant is seeking an experienced Enterprise Generative AI Architect to lead architecture, design, and delivery of AI solutions across programs. You will craft scalable cloud-native architectures using LLMs, AI agents, and microservices, and guide AI-enabled software engineering with cutting-edge tools.

You will mentor teams in AI platform engineering, responsible AI practices, and modern DevOps/CI-CD, spanning AWS services and Bedrock.

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