Remote Conversational AI Platform Engineer

Cognizant; Atlanta (GA); 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, build, and deploy enterprise‑grade voice and chat bots powered by AWS services and LLMs. You will collaborate with architects, cloud engineers, product owners, and stakeholders to deliver AI‑driven solutions.

Responsibilities include building AI platforms with AWS Lex and Bedrock, developing multi‑agent workflows, implementing prompt engineering and NLU, and ensuring performance, reliability, and cost efficiency in production

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.
• 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.

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.

Skills

Conversational AI development

Agentic AI platforms

LLM application development

Voice and chat bot design

Prompt engineering

NLU concepts

AWS cloud development

Multi-agent workflows

Agent orchestration

Tool calling and function calling

Production monitoring

AI security best practices

Development accelerators (Copilot/Chat

Tools

Amazon Bedrock

Bedrock AgentCore

AWS Lex

AWS Strands SDK/Framework

AWS Lambda

S3

DynamoDB

API Gateway

IAM

CloudWatch

Job description

Cognizant is seeking a Conversational AI Platform Engineer to design, build, and deploy enterprise‑grade voice and chat bots powered by AWS services and LLMs. You will collaborate with architects, cloud engineers, product owners, and stakeholders to deliver AI‑driven solutions.

Responsibilities include building AI platforms with AWS Lex and Bedrock, developing multi‑agent workflows, implementing prompt engineering and NLU, and ensuring performance, reliability, and cost efficiency in production