Remote Senior AI Architect: Agentic AI & Enterprise Systems

Cognizant; Lincoln (NE); 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

Disability insurance

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is seeking a Senior AI Architect to lead end-to-end Agentic AI architectures that convert large language models, multi-agent systems, and orchestration layers into secure, scalable enterprise solutions. You will collaborate with client stakeholders, data and platform teams, and cross-functional engineering groups.

The role emphasizes Python-based development, cloud platforms (Azure preferred), and DevOps/MLOps practices to deliver robust AI applications across ERP/CRM integrations and

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

Fine-tuning

RAG

Embeddings

Vector databases

Multi-agent architectures

Agent frameworks

Python

Cloud platforms

Azure OpenAI

Azure AI Studio

Databricks

AWS or GCP

REST APIs

Microservices

Event streaming

Kafka

Event Hub

DevOps

MLOps

CI/CD

Docker

Kubernetes

Monitoring

Logging

Experiment tracking

Tools

Databricks

Snowflake

Synapse

Docker

Kubernetes

Job description

Cognizant is seeking a Senior AI Architect to lead end-to-end Agentic AI architectures that convert large language models, multi-agent systems, and orchestration layers into secure, scalable enterprise solutions. You will collaborate with client stakeholders, data and platform teams, and cross-functional engineering groups.

The role emphasizes Python-based development, cloud platforms (Azure preferred), and DevOps/MLOps practices to deliver robust AI applications across ERP/CRM integrations and