Lead Agentic AI Engineer (Remote)

Cognizant; Augusta (ME); Remote; USD 90,000 - 100,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays

401(k) plan and contributions

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant seeks a skilled AI engineer to lead a distributed development team in a remote-capable role based in the U.S. This position focuses on building production-grade Generative AI apps with Bedrock, orchestrating AI agents, and ensuring secure, scalable deployments.

Expect hands-on design, architecture, and collaboration with QA/UAT teams. Strong AWS Bedrock, Lambda, and Strands expertise required, plus experience in multi-agent workflows and governance.

Qualifications

• Experience with Conversational AI platforms and agent orchestration.
• AWS Bedrock/AWS Lambda deployment and secure AI practices.
• Hands-on development of voice/chat bots and LLM-powered apps.
• Ability to model intents, design conversations, and engineer prompts.
• Familiarity with RAG architectures and tool integrations is a plus.

Responsibilities

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

Skills

Conversational AI

Agentic AI

AWS Lex

Bedrock

Bedrock AgentCore

AWS Strands

Voice & Chat Bot

LLM apps

Prompt engineering

NLU concepts

LLM orchestration

Tool integrations

Security & governance

Cost optimization

Education

AWS Certification (AI Practitioner/AI Engineer)

Tools

Bedrock

Bedrock AgentCore

AWS Lambda

Amazon S3

DynamoDB

API Gateway

IAM

CloudWatch

Strands SDK/Framework

Job description

Cognizant seeks a skilled AI engineer to lead a distributed development team in a remote-capable role based in the U.S. This position focuses on building production-grade Generative AI apps with Bedrock, orchestrating AI agents, and ensuring secure, scalable deployments.

Expect hands-on design, architecture, and collaboration with QA/UAT teams. Strong AWS Bedrock, Lambda, and Strands expertise required, plus experience in multi-agent workflows and governance.