Senior Agentic AI Engineer (Remote) - AWS Bedrock & LLM

Cognizant Technology Solutions Corporation; Boise (ID); A distancia; USD 100.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical/Dental/Vision/Life Insurance

Paid holidays and PTO

401(k) plan and contributions

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Descripción de la vacante

Cognizant Technology Solutions Corporation is seeking a Senior Agentic AI Engineer to drive development of advanced AI agents remotely across the USA. You will lead onshore and offshore teams, design architectures, and hands-on build cutting-edge AI solutions using Bedrock, Strands, and Lambda.

The role emphasizes practical implementation of Generative AI, tool integrations, and responsible AI practices, with strong focus on performance, security, and scalable cloud deployments.

Formación

• Experience building production-grade Conversational AI and Agentic AI platforms.
• Hands-on with AWS Bedrock, Bedrock AgentCore, and Strands SDK/framework.
• Develop and orchestrate AI agents, tool integrations, and multi-agent workflows.

Responsabilidades

• Lead development team across onshore and offshore.
• Hands-on development, design and architecture based on client requirements.
• Support QA and UAT teams during validation and rollout.

Conocimientos

Conversational AI

Agentic AI

LLM orchestration

Prompt engineering

Conversation design

NLU concepts

Tool calling / function calling

Multi-agent workflows

Herramientas

AWS Lex

AWS Bedrock

Bedrock AgentCore

AWS Strands SDK/Framework

AWS Lambda

Amazon S3

DynamoDB

API Gateway

IAM

CloudWatch

Descripción del empleo

Cognizant Technology Solutions Corporation is seeking a Senior Agentic AI Engineer to drive development of advanced AI agents remotely across the USA. You will lead onshore and offshore teams, design architectures, and hands-on build cutting-edge AI solutions using Bedrock, Strands, and Lambda.

The role emphasizes practical implementation of Generative AI, tool integrations, and responsible AI practices, with strong focus on performance, security, and scalable cloud deployments.