Remote Conversational AI Platform Engineer
Cognizant
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Benefits offered by this job
Job summary
Cognizant is seeking 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. Join the AI Engineering team to collaborate with architects, cloud engineers, product owners, and stakeholders.
The role focuses on building, orchestrating agentic AI applications with Bedrock, Lex, and Strands, refining intents and prompts, and ensuring scalable, secure, and cost-efficient
Qualifications
- Strong hands-on experience building Conversational AI and Agentic AI platforms with AWS Bedrock and Lex.
- Experience delivering production-grade Generative AI solutions and agent workflows.
- Proficiency in voice and chat bot design, including intents and prompts.
- Solid AWS cloud development with Lambda, S3, DynamoDB, API Gateway, IAM, and CloudWatch.
- Experience implementing guardrails, data protection, and AI security best practices.
- Experience monitoring AI agents in production and optimizing performance.
- Familiarity with AI-assisted development tools (GitHub Copilot, ChatGPT, etc.).
Responsibilities
- Design, develop, and deploy conversational AI platforms and bots.
- Develop agentic AI applications leveraging Bedrock and Strands.
- Build production-grade Generative AI applications with tool calling and multi-agent workflows.
- Create intent models, conversation flows, and prompts for strong user experience.
- Monitor, troubleshoot, and optimize AI agents for accuracy, latency, and cost.
Skills
Tools
Job description
Cognizant is seeking 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. Join the AI Engineering team to collaborate with architects, cloud engineers, product owners, and stakeholders.
The role focuses on building, orchestrating agentic AI applications with Bedrock, Lex, and Strands, refining intents and prompts, and ensuring scalable, secure, and cost-efficient
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