GenAI Architect: Enterprise LLMs & Agentic AI (Hybrid)

Cognizant Technology Solutions Corporation; Charlotte (NC); Hybrid; USD 117,000 - 135,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays

401(k) plan

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant Technology Solutions Corporation is seeking a GenAI Architect to design and deliver enterprise-scale Generative AI solutions that transform software engineering practices. You will collaborate with AI, architecture, cloud, data, security, DevOps, and business stakeholders from concept to production.

The role emphasizes designing scalable GenAI, LLM, and Agentic AI solutions, leading AI tooling adoption, and establishing governance, observability, and CI/CD best practices across teams.

Qualifications

• 10+ years of architecture experience in enterprise settings.
• Hands-on with Generative AI and LLM-based applications.
• Proven track record delivering AI-powered solutions.
• Strong knowledge of AWS, Bedrock, embeddings, vector search.
• Experience with APIs, microservices, containers, and CI/CD.

Responsibilities

• Architect scalable Generative AI and LLM solutions for enterprise apps.
• Design AI-powered applications, agents, and orchestrations.
• Develop patterns for prompt engineering, grounding, and evaluation.
• Lead adoption of AI-assisted tooling to boost developer productivity.
• Establish best practices for responsible AI, governance, and monitoring.

Skills

Solution architecture

Application architecture

Software engineering

AI/ML

Cloud experience

Tools

AWS Cloud

Amazon Bedrock

APIs

Microservices

CI/CD

DevOps

Containers

Job description

Cognizant Technology Solutions Corporation is seeking a GenAI Architect to design and deliver enterprise-scale Generative AI solutions that transform software engineering practices. You will collaborate with AI, architecture, cloud, data, security, DevOps, and business stakeholders from concept to production.

The role emphasizes designing scalable GenAI, LLM, and Agentic AI solutions, leading AI tooling adoption, and establishing governance, observability, and CI/CD best practices across teams.