Senior AI Architect: Remote Agentic AI & Enterprise Systems

Cognizant; Denver (CO); Remote; USD 108,000 - 180,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays plus PTO

401(k) plan and contributions

Disability insurance

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.

You will establish enterprise-grade, cloud-native architectures and integrate AI agents with ERP/CRM/data platforms, APIs, and event-driven systems. Strong cloud, DevOps, and data ecosystems experience is required.

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 expertise

GenAI

LLMs

prompt engineering

fine-tuning

RAG

embeddings

vector databases

multi-agent architectures

agent frameworks

Python

Azure cloud

Azure OpenAI

Databricks

AWS

GCP

Databricks ecosystem

Snowflake

Synapse

REST APIs

Microservices

Kafka

Event Hub

CI/CD

Docker

Kubernetes

Monitoring

Logging

Experiment tracking

Java

Scala

Node.js

enterprise insurance

client stakeholder engagement

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.

You will establish enterprise-grade, cloud-native architectures and integrate AI agents with ERP/CRM/data platforms, APIs, and event-driven systems. Strong cloud, DevOps, and data ecosystems experience is required.