Remote Conversational AI Platform Engineer (LLM/Bedrock)

Cognizant; Richmond (VA); Remote; USD 84,000 - 130,000; 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 Conversational AI Platform Engineer to design, develop, and deploy enterprise-grade AI solutions including voice and chat bots, powered by AWS and LLMs. You will collaborate with architects, cloud engineers, and business stakeholders to deliver scalable AI-driven applications.

The role focuses on building production-grade AI platforms, optimizing performance, and ensuring robust security and governance across environments.

Qualifications

• Strong hands‑on experience developing Conversational AI and Agentic AI platforms using Amazon Bedrock, Bedrock AgentCore, AWS Lex, AWS Strands SDK/Framework, and related AWS AI services.
• Hands‑on experience building production‑grade Generative AI solutions using Amazon Bedrock, including LLM application development, agent workflows, tool calling, and function calling.
• Strong experience designing and developing voice bot and chat bot solutions, including intent modeling, conversation design, prompt engineering, and NLU concepts.
• Strong AWS cloud development experience including AWS Lambda, Amazon S3, DynamoDB, API Gateway, IAM, and CloudWatch.
• Experience securing enterprise AI applications through guardrails, prompt injection mitigation, data protection, access controls, responsible AI controls, and AI security best practices.
• Experience monitoring, troubleshooting, and optimizing AI agents and conversational AI platforms in production environments.

Responsibilities

• Design, develop, and deploy conversational AI platforms, including voice bots and chat bots, using AWS Lex and other deterministic bot technologies.
• Build and orchestrate Agentic AI applications leveraging Amazon Bedrock, Bedrock AgentCore, and AWS Strands SDK/Framework.
• Develop production-grade Generative AI and LLM-based applications utilizing tool calling, function calling, multi-agent workflows, and agent orchestration patterns.
• Design intent models, conversation flows, prompts, and Natural Language Understanding (NLU) capabilities to deliver highly effective user experiences.
• Monitor, optimize, troubleshoot, and continuously improve AI agents and conversational systems for accuracy, latency, scalability, reliability, observability, and cost efficiency.
• Experience with conversational analytics, agent evaluation frameworks, and bot performance optimization.

Skills

Conversational AI

Agentic AI platforms

AWS Lex

Bedrock & Bedrock AgentCore

LLM development

Prompt engineering

NLU concepts

AI security & guardrails

Production monitoring

AI-assisted development tools

Tools

GitHub Copilot

ChatGPT

Cursor

Claude

AWS Strands SDK

Bedrock AgentCore

Job description

Cognizant is seeking a Conversational AI Platform Engineer to design, develop, and deploy enterprise-grade AI solutions including voice and chat bots, powered by AWS and LLMs. You will collaborate with architects, cloud engineers, and business stakeholders to deliver scalable AI-driven applications.

The role focuses on building production-grade AI platforms, optimizing performance, and ensuring robust security and governance across environments.