Remote Senior AI Architect — Agentic AI & LLM Systems

Cognizant; Indianapolis (IN); Remote; USD 108,000 - 180,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Paid holidays

Paid Time Off

401(k) plan

Disability coverage

Paid Parental Leave

Employee stock purchase plan

Job summary

Cognizant is seeking a Senior AI Architect to define end-to-end Agentic AI architectures leveraging LLMs, multi-agent systems, and orchestration layers. You will design autonomous AI agents capable of planning, reasoning, memory management, and tool usage within enterprise-scale, secure environments.

The role emphasizes cloud-native, scalable architectures and integration with data platforms, ERP, and APIs, with emphasis on Azure OpenAI and Databricks, while offering a remote-US opportunity and

Qualifications

• Deep expertise in AI/ML and GenAI, including LLMs, prompts, fine-tuning, and multi-agent architectures.
• Strong programming skills in Python with hands-on AI libraries.
• Experience architecting on cloud platforms (Azure preferred) and familiarity with AWS/GCP.

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 cloud-native, scalable, secure enterprise AI applications.
• Integrate AI agents with enterprise systems (data platforms, ERP, CRM, APIs, event-driven systems).

Skills

AI/ML expertise

GenAI

Python programming

Cloud platforms

Databricks/Snowflake/Synapse

MLOps/DevOps

Tools

Azure OpenAI

Azure AI Studio

Databricks

Kafka

Event Hub

Docker

Kubernetes

Job description

Cognizant is seeking a Senior AI Architect to define end-to-end Agentic AI architectures leveraging LLMs, multi-agent systems, and orchestration layers. You will design autonomous AI agents capable of planning, reasoning, memory management, and tool usage within enterprise-scale, secure environments.

The role emphasizes cloud-native, scalable architectures and integration with data platforms, ERP, and APIs, with emphasis on Azure OpenAI and Databricks, while offering a remote-US opportunity and