Remote Senior Agentic AI Architect | LLMs & Enterprise AI

Cognizant; Augusta (ME); Remote; USD 108,000 - 180,000; Full time

Benefits offered by this job

Health benefits

Paid time off

401(k) plan

Disability insurance

Parental leave

Employee stock purchase plan

Job summary

Cognizant is seeking a Senior AI Architect to define end-to-end Agentic AI architectures using LLMs, multi-agent systems, and orchestration layers for enterprise-grade solutions. You will collaborate with client stakeholders, data and platform teams, and cross-functional engineering groups.

The role is remote in the United States with potential in-person interviews and travel as needed. You should have deep expertise in AI/ML, cloud platforms (Azure preferred), Python, and DevOps/MLOps practices

Qualifications

• Deep expertise in AI/ML and GenAI, incl. 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

RAG

Embeddings

Vector databases

Multi-agent architectures

Python

Cloud platforms

Azure

Azure OpenAI

Databricks

AWS

GCP

REST APIs

Microservices

Kafka

Event Hub

CI/CD

Docker

Kubernetes

MLOps

Tools

Azure OpenAI

Databricks

Docker

Kubernetes

REST APIs

Job description

Cognizant is seeking a Senior AI Architect to define end-to-end Agentic AI architectures using LLMs, multi-agent systems, and orchestration layers for enterprise-grade solutions. You will collaborate with client stakeholders, data and platform teams, and cross-functional engineering groups.

The role is remote in the United States with potential in-person interviews and travel as needed. You should have deep expertise in AI/ML, cloud platforms (Azure preferred), Python, and DevOps/MLOps practices