Senior Agentic AI Engineer — Remote (AWS Bedrock)

Cognizant; Trenton (NJ); Remote; USD 90,000 - 100,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays plus Paid Time Off

401(k) plan and contributions

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is seeking a senior AI/GenAI engineer to lead a distributed development team across onshore and offshore. You will design, implement, and scale conversational AI platforms using AWS Bedrock, Lex, and Strands, and orchestrate multi-agent workflows.

You will collaborate with QA/UAT, architects, and clients to deliver production-grade AI solutions. Remote role open to qualified applicants in the United States; strong emphasis on secure deployment, governance, and cost efficiency in

Qualifications

• Conversational AI & Agentic AI platforms expertise is required.
• Hands-on experience with AWS Bedrock and agent orchestration.
• Experience in LLM applications, tool calls, and multi-agent workflows.
• Knowledge of secure AI deployment patterns and governance.

Responsibilities

• Lead dev team across onshore and offshore.
• Hands-on development, design, and architecture per client requirements.
• Support QA and UAT teams.

Skills

AWS Lex

Bedrock

Bedrock AgentCore

Bedrock Strands

Voice Bot development

Agentic AI

Intent modeling

NLU concepts

LLM orchestration

Tool calling

Tools

Amazon Bedrock

Bedrock AgentCore

AWS Lambda

Amazon S3

DynamoDB

API Gateway

IAM

CloudWatch

Job description

Cognizant is seeking a senior AI/GenAI engineer to lead a distributed development team across onshore and offshore. You will design, implement, and scale conversational AI platforms using AWS Bedrock, Lex, and Strands, and orchestrate multi-agent workflows.

You will collaborate with QA/UAT, architects, and clients to deliver production-grade AI solutions. Remote role open to qualified applicants in the United States; strong emphasis on secure deployment, governance, and cost efficiency in