Senior AI Architect - Remote, Enterprise Agentic AI

Cognizant; Nashville (TN); Remote; USD 108,000 - 180,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays plus Paid Time Off

401(k) plan and contributions

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 that leverage LLMs, multi-agent systems, and orchestration layers for enterprise-scale solutions. You will collaborate with client stakeholders and cross-functional teams to design secure, scalable AI applications and integrate with data platforms, ERP, and CRM.

The role emphasizes DevOps/MLOps across cloud environments (Azure preferred; AWS/GCP also supported).

Qualifications

• Deep expertise in AI/ML and GenAI, including LLMs, prompt engineering, fine-tuning, RAG, embeddings, vector databases, and multi-agent architectures and agent frameworks.
• Strong programming skills in Python (primary) with hands-on experience across AI libraries.
• Experience architecting on cloud platforms, with Azure preferred (including Azure OpenAI, Azure AI Studio, and Databricks), as well as AWS or GCP.
• Experience with modern data and platform ecosystems (Databricks, Snowflake, Synapse), REST APIs, microservices, and event streaming (Kafka, Event Hub).
• Strong DevOps and MLOps capabilities, including CI/CD pipelines, Docker, Kubernetes, monitoring, logging, and experiment tracking.

Responsibilities

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

Skills

AI/ML

GenAI

LLMs

Prompt engineering

Python

Cloud platforms

Azure

Azure OpenAI

Databricks

Kubernetes

Tools

Azure OpenAI

Azure AI Studio

Databricks

Snowflake

Synapse

REST APIs

Kafka

Event Hub

Docker

Kubernetes

Job description

Cognizant is seeking a Senior AI Architect to define end-to-end Agentic AI architectures that leverage LLMs, multi-agent systems, and orchestration layers for enterprise-scale solutions. You will collaborate with client stakeholders and cross-functional teams to design secure, scalable AI applications and integrate with data platforms, ERP, and CRM.

The role emphasizes DevOps/MLOps across cloud environments (Azure preferred; AWS/GCP also supported).