Remote Lead Agentic AI Engineer - Bedrock & LLM Architect

Cognizant; Augusta (ME); Remote; USD 100,000 - 130,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays + PTO

401(k) plan with contributions

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant seeks a Senior Agentic AI Engineer to lead a remote US-based development team. You will design, develop, and orchestrate agentic AI solutions using AWS Bedrock and Strands, while ensuring secure deployments and alignment with client requirements.

Responsibilities span hands-on development, architecture, and QA/UAT support, with opportunities to influence policy and governance for enterprise AI deployments.

Qualifications

• Conversational AI & Agentic AI platforms experience required.
• Hands-on with AWS Bedrock, Lambda, S3, DynamoDB, and related services.
• Experience building production-grade Generative AI applications.
• Experience with multi-agent orchestration and tool integrations.

Responsibilities

• Lead Dev team across onshore and offshore.
• Hands-on Dev, Design and architecture based on the client requirement.
• Support QA and UAT teams.
• Develop and orchestrate AI agents using Bedrock AgentCore and AWS Strands.
• Implement secure AI deployments and cost optimization.

Skills

Conversational AI

Agentic AI

AWS Bedrock

Bedrock AgentCore

AWS Strands SDK

Voice Bot development

Chat Bot development

Intent modeling

Conversation design

Prompt engineering

NLU concepts

LLM application development

Tool calling

Function calling

Agent workflows

Tools

AWS Lambda

Amazon S3

DynamoDB

API Gateway

IAM

CloudWatch

Bedrock

Bedrock AgentCore

AWS Strands SDK

Job description

Cognizant seeks a Senior Agentic AI Engineer to lead a remote US-based development team. You will design, develop, and orchestrate agentic AI solutions using AWS Bedrock and Strands, while ensuring secure deployments and alignment with client requirements.

Responsibilities span hands-on development, architecture, and QA/UAT support, with opportunities to influence policy and governance for enterprise AI deployments.