Senior Agentic AI Engineer – Remote & AWS Bedrock

Cognizant; Minneapolis (MN); Remote; USD 100,000 - 130,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

401(k) plan

Paid holidays

Paid Time Off

Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is seeking a senior developer to lead a remote role focused on Conversational AI and agent engineering. You will build production-grade AI applications on AWS Bedrock, orchestrate multi-agent workflows, and ensure security controls are in place for enterprise deployment.

The role offers remote work flexibility for applicants in Minneapolis, MN, with onshore/offshore collaboration and a strong emphasis on AI governance and performance optimization.

Qualifications

• Experience building production AI applications using Amazon Bedrock.
• Hands‑on experience with AI agents orchestration and Bedrock AgentCore/Strands.
• Proficient in prompt engineering, model evaluation, grounding, and agent performance tuning.
• Understanding of Retrieval-Augmented Generation (RAG) architectures (optional).
• Experience with securing enterprise AI agents including guardrails and data protection.

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

LLM App Dev

Prompt Engineering

AWS Bedrock

Bedrock AgentCore

Strands SDK

Voice/Chat Bots

Agent Orchestration

RAG Architect

Security Controls

Tools

AWS Lambda

API Gateway

DynamoDB

Amazon S3

CloudWatch

IAM

Bedrock AgentCore

Strands SDK

Job description

Cognizant is seeking a senior developer to lead a remote role focused on Conversational AI and agent engineering. You will build production-grade AI applications on AWS Bedrock, orchestrate multi-agent workflows, and ensure security controls are in place for enterprise deployment.

The role offers remote work flexibility for applicants in Minneapolis, MN, with onshore/offshore collaboration and a strong emphasis on AI governance and performance optimization.