Remote Conversational AI Platform Engineer

Cognizant

Topeka (KS)

Remote

USD 84,000 - 130,000

Full time

8 days ago
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Benefits offered by this job

Medical/Dental/Vision/Life Insurance
Paid holidays + PTO
401(k) plan and contributions
Long-term/Short-term Disability
Paid Parental Leave
Employee Stock Purchase Plan

Job summary

Cognizant is hiring a Conversational AI Platform Engineer to design, develop, and deploy enterprise-grade conversational AI solutions, voice and chat bots, powered by AWS services and large language models (LLMs). You will build agentic AI applications using Bedrock, Bedrock AgentCore, and AWS Strands SDK, plus craft intents, prompts, and NLU to deliver effective user experiences.

This remote role supports a healthy work-life balance with strong emphasis on observability, security, and scalable

Qualifications

  • Hands-on experience with Conversational AI platforms using Bedrock, Bedrock AgentCore, Lex and Strands.

Responsibilities

  • Design, deploy conversational AI platforms including voice and chat bots using AWS Lex and deterministic bot technologies.
  • Build agentic AI apps leveraging Bedrock, Bedrock AgentCore, and AWS Strands SDK/Framework.
  • Develop Gen AI applications with tool calling, multi-agent workflows, and agent orchestration patterns.
  • Design intents, conversation flows, prompts, and NLU to optimize user experiences.
  • Monitor, troubleshoot, and optimize AI agents for accuracy, latency, scalability, and cost.

Skills

Conversational AI
Agentic AI platforms
Gen AI
Voice & chat bot design
Prompts & intents

Tools

AWS Lex
Bedrock
Bedrock AgentCore
AWS Strands SDK/Framework
AWS Lambda
S3
DynamoDB
API Gateway
IAM
CloudWatch

Job description

Cognizant is hiring a Conversational AI Platform Engineer to design, develop, and deploy enterprise-grade conversational AI solutions, voice and chat bots, powered by AWS services and large language models (LLMs). You will build agentic AI applications using Bedrock, Bedrock AgentCore, and AWS Strands SDK, plus craft intents, prompts, and NLU to deliver effective user experiences.

This remote role supports a healthy work-life balance with strong emphasis on observability, security, and scalable

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