Senior Remote Agentic AI Engineer

Cognizant; Carson City (NV); Remote; USD 100,000 - 130,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays + PTO

401(k) plan

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is seeking a Senior Agentic AI Engineer for a remote‑first role in the USA. You will lead a development team across onshore and offshore, implementing agentic AI platforms using Bedrock and related AWS services.

You’ll design, build and scale production-grade AI agents and orchestration workflows. You will drive LLM applications with emphasis on prompt engineering, RAG architectures, and secure, responsible AI practices while collaborating with QA and UAT teams to ensure quality

Qualifications

• Hands-on experience with AWS Lex or equivalent deterministic bot.
• Proficiency in developing production-grade Generative AI applications.
• Experience with RAG architectures and LLM tool integrations.
• Knowledge of secure AI deployment and responsible AI controls.
• Experience with multi-agent orchestration and agent workflows.

Responsibilities

• Lead Dev team across onshore and offshore
• Hands on Dev, design and architecture based on client requirement
• Support QA and UAT team

Skills

Conversational AI

Agentic AI

LLM orchestration

Prompt engineering

Intent modeling

Conversation design

NLP concepts

Responsible AI

Tool integrations

Multi-agent workflows

Tools

AWS Bedrock

Bedrock AgentCore

AWS Strands SDK

Lambda

S3

DynamoDB

API Gateway

IAM

CloudWatch

Secure AI deployment

Job description

Cognizant is seeking a Senior Agentic AI Engineer for a remote‑first role in the USA. You will lead a development team across onshore and offshore, implementing agentic AI platforms using Bedrock and related AWS services.

You’ll design, build and scale production-grade AI agents and orchestration workflows. You will drive LLM applications with emphasis on prompt engineering, RAG architectures, and secure, responsible AI practices while collaborating with QA and UAT teams to ensure quality