Remote Senior AI Architect — Agentic & Enterprise AI

Cognizant; Carson City (NV); 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 with hands-on expertise in AI/ML and GenAI to define enterprise-grade architectures. You will work on end-to-end agentic AI using LLMs, multi-agent systems, and orchestration layers, and design autonomous AI agents for planning, memory management and tool use.

Remote position in the United States with travel as needed. Strong cloud, DevOps, and data ecosystem experience are essential for success in this role.

Qualifications

• Deep expertise in AI/ML and GenAI, incl. LLMs, prompt engineering, fine-tuning, RAG and embeddings.
• Experience with cloud platforms (Azure preferred) and Databricks, plus AWS or GCP.
• Strong Python programming skills and AI library proficiency.
• Experience with REST APIs, microservices, and event streaming (Kafka).
• DevOps/MLOps capabilities: CI/CD, monitoring, logging, and experiment tracking.

Responsibilities

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

Skills

AI/ML

GenAI

LLMs

Prompt engineering

Cloud platforms

Python

Docker

Kubernetes

Databricks

REST APIs

Tools

Azure OpenAI

Azure AI Studio

Databricks

AWS

GCP

Kafka

Event Hub

Docker

Kubernetes

Job description

Cognizant is seeking a Senior AI Architect with hands-on expertise in AI/ML and GenAI to define enterprise-grade architectures. You will work on end-to-end agentic AI using LLMs, multi-agent systems, and orchestration layers, and design autonomous AI agents for planning, memory management and tool use.

Remote position in the United States with travel as needed. Strong cloud, DevOps, and data ecosystem experience are essential for success in this role.