Gen AI Architect — Remote, Enterprise LLM Solutions

Cognizant

Madison (WI)

Remote

USD 103,000 - 163,000

Full time

4 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
Long-term/Short-term Disability
Paid Parental Leave
Employee Stock Purchase Plan

Job summary

Cognizant seeks a Gen AI Architect (Agentic AI & LLM) for a remote US-based role. You will lead architecture and development of scalable Generative AI solutions, guiding teams across engineering, product, and business to create measurable value.

Expect to drive technical strategy, governance, and production deployment while mentoring engineers and ensuring reliability and security across platforms.

Qualifications

  • 12+ years designing and delivering large-scale distributed systems.
  • Proven success delivering AI/LLM-powered solutions, including agentic AI systems or RAG platforms.
  • Deep expertise with Generative AI tech including OpenAI models, prompt engineering, vector databases, retrieval frameworks.

Responsibilities

  • Architect and deliver enterprise-scale Generative AI applications.
  • Design AI platform architectures covering model routing, prompt lifecycle, observability and governance.
  • Lead end-to-end product delivery from architecture to deployment and operations.
  • Mentor engineering teams and foster innovation and best practices.
  • Establish evaluation frameworks with offline testing and business outcome measurement.

Skills

Generative AI
LLMs
Agentic AI
Full-stack engineering
Technical strategy
Mentor teams
System design

Education

Bachelor's / Master's / PhD in CS or related

Tools

LangGraph
LangChain
AutoGen
Temporal

Job description

Cognizant seeks a Gen AI Architect (Agentic AI & LLM) for a remote US-based role. You will lead architecture and development of scalable Generative AI solutions, guiding teams across engineering, product, and business to create measurable value.

Expect to drive technical strategy, governance, and production deployment while mentoring engineers and ensuring reliability and security across platforms.

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