Senior AI Architect — Enterprise Agentic AI Lead (Remote)

Cognizant; Madison (WI); Remote; USD 108,000 - 180,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays + PTO

401(k) plan

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is seeking a Senior AI Architect to define end-to-end Agentic AI architectures, turning LLMs and multi-agent systems into secure, scalable enterprise solutions. You will collaborate with client stakeholders and cross-functional teams to architect AI capabilities and integrate with enterprise systems.

Ideal candidates bring deep AI/ML experience, strong Python skills, and cloud-platform expertise (Azure preferred) with a focus on scalable, compliant AI deployments.

Qualifications

• Deep expertise in AI/ML and GenAI, incl. LLMs and tool usage.
• Strong Python programming skills with AI libraries experience.
• Experience architecting on Azure, AWS, or GCP cloud platforms.
• Experience with Databricks, Snowflake, Synapse and data ecosystems.
• DevOps/MLOps capabilities incl. CI/CD, Docker, Kubernetes, monitoring.

Responsibilities

• Define end-to-end Agentic AI architecture frameworks using LLMs and multi-agent systems.
• Design autonomous AI agents for planning, reasoning, memory management, and tool usage.
• Establish reference architectures for cloud-native, scalable, secure AI apps.
• Integrate AI agents with enterprise data platforms, ERP/CRM, APIs, and event systems.

Skills

AI/ML expertise

GenAI & LLMs

Prompt engineering

Python programming

Cloud architecture

MLOps & CI/CD

Architectural design

Tools

Azure OpenAI

Azure AI Studio

Databricks

AWS

GCP

Kafka

Event Hub

Docker

Kubernetes

REST APIs

Job description

Cognizant is seeking a Senior AI Architect to define end-to-end Agentic AI architectures, turning LLMs and multi-agent systems into secure, scalable enterprise solutions. You will collaborate with client stakeholders and cross-functional teams to architect AI capabilities and integrate with enterprise systems.

Ideal candidates bring deep AI/ML experience, strong Python skills, and cloud-platform expertise (Azure preferred) with a focus on scalable, compliant AI deployments.