Remote Senior Agentic AI Engineer — Bedrock & Orchestration

Cognizant; Columbus (OH); Remote; USD 90,000 - 100,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays + Paid Time Off

401(k) plan and contributions

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is hiring for a remote role focused on Conversational AI and agent engineering, serving clients with onshore and offshore delivery teams. The position emphasizes architectural leadership, hands-on development, and close collaboration with QA/UAT teams.

The role requires deep expertise in Bedrock, agent orchestration, and secure AI deployments, with a strong emphasis on performance, reliability, and cost efficiency across AWS services.

Qualifications

• Must-have: Conversational AI and Agentic AI platform experience.
• Must-have: Hands-on AWS Bedrock and Bedrock AgentCore knowledge.
• Must-have: Experience with AWS Strands SDK and Lambda.
• Must-have: Voice/Chat bot development and agent orchestration.
• Must-have: LLM application development, tool calls, and prompts.
• Must-have: Security, governance, and compliant AI deployment patterns.

Responsibilities

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

Skills

Conversational AI

Agentic AI platforms

LLM orchestration

Prompt engineering

NLU concepts

Multi-agent workflows

RAG architectures

Tools

AWS Bedrock

Bedrock AgentCore

AWS Strands SDK

AWS Lambda

Amazon S3

DynamoDB

API Gateway

IAM

CloudWatch

Job description

Cognizant is hiring for a remote role focused on Conversational AI and agent engineering, serving clients with onshore and offshore delivery teams. The position emphasizes architectural leadership, hands-on development, and close collaboration with QA/UAT teams.

The role requires deep expertise in Bedrock, agent orchestration, and secure AI deployments, with a strong emphasis on performance, reliability, and cost efficiency across AWS services.