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# Conversational AI Platform Engineer

- **Company:** Cognizant Technology Solutions Corporation
- **Location:** Augusta, ME, United States (Remote available)
- **Salary:** $84,000.0 - $130,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Data Analysis, Cloud Engineering, Cursor, Amazon DynamoDB, Identity and Access Management, Lex (Software), Performance Tuning, Software Engineering, Chatbots, GitHub Copilot, Large Language Models, Multi-Agent Systems, Prompt Engineering, Model Validation, AgentCore, Generative AI, AWS Lambda, Agentic-AI, AI Platforms, Amazon Bedrock, Low Latency, Claude, Invoking Functions, Cloudwatch, Api Gateway, GPT, Natural Language Understanding
- **Published:** October 4, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3418286667&tx=FR3734FFP&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 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.
 * Hands-on experience with conversational analytics, agent evaluation frameworks, and bot performance optimization.
 * Experience using at least one AI-assisted development platform such as GitHub Copilot, ChatGPT, Cursor, Claude, or a similar development accelerator.

These Will Help You Stand Out

 * Knowledge of secure AI/LLM deployment patterns and cloud-native agent architectures.
 * Experience developing advanced multi-agent systems and complex agent orchestration patterns.
 * Experience implementing Retrieval-Augmented Generation (RAG) architectures.
 * AWS certifications such as AWS Certified AI Practitioner, AWS Certified AI Engineer, or equivalent.
 * Experience implementing Responsible AI, AI governance, compliance, enterprise AI security controls, and model evaluation frameworks.

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

## Description

As a Conversational AI Platform Engineer , you will make an impact by designing, developing, and deploying enterprise-grade conversational AI solutions, voice and chat bots, and agentic AI applications powered by AWS services and Large Language Models (LLMs). You will be a valued member of the AI Engineering team and work collaboratively with architects, cloud engineers, product owners, business stakeholders, and cross-functional technology teams to deliver innovative AI-driven solutions.

In this role, you will:

 * 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.

Work Model

We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants in the United States . Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.