Cognizant
Posted 2 days agoVerified live 1d ago
Conversational AI Platform Engineer
Brief overview
Remote
UndergradOr in progress
$84k–$130k/yrStated range
3+ yrsMinimum
8,508 H-1B approvalsDept. of Labor
2,334 green cardsCertified filings
Conversational AI Platform DevelopmentAgentic AI DevelopmentAmazon BedrockAWS LexAWS Strands SDK/FrameworkLarge Language Model Application DevelopmentPrompt EngineeringNatural Language Understanding (NLU)AWS Cloud DevelopmentAWS LambdaAmazon S3DynamoDBAPI GatewayIdentity and Access Management (IAM)Amazon CloudWatchAI Application SecurityRetrieval-Augmented Generation (RAG)
About the company
Cognizantcognizant.com
Cognizant is a professional services company that helps clients alter their business, operating, and technology models for the digital era.
Visa sponsorship history
4 years sponsoring, last filed FY2026H-1B dependent
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.8,508H-1B approved
96%approval rate
2,111new H-1B hires
2,334PERM certified
$144,144median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20231,739
20243,085
20252,702
2026982
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20233,265
20242,705
20252,501
20261,393
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20231,099
20241,235
Top sponsored roles
Manager JC50 - Computer Systems Engineers/ArchitectsSenior Associate JC60 -Computer Systems Engineers/ArchitectsSenior Manager JC45 - Computer Systems Engineers/ArchitectsManager JC50Mgr. JC50 - Software Quality Assurance Analysts and Testers
Sponsored employees from
IndiaRomaniaCanadaNepalMexico
Job description
Summary
Cognizant is seeking a Conversational AI Platform Engineer to join its AI Engineering team. The role focuses on designing, developing, and deploying enterprise-grade conversational AI platforms, voice and chat bots, and agentic AI applications using AWS services and large language models. The engineer will collaborate with cross-functional teams and optimize AI systems for accuracy, scalability, reliability, security, and cost efficiency.
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
- 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
- This role is not able to offer visa transfer or sponsorship now or in the future
- 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
Qualifications
Must Haves
- 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
- This role is not able to offer visa transfer or sponsorship now or in the future
Nice to Haves
- 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
Benefits
- Remote position open to qualified applicants in the United States
- Various wellbeing programs supporting a healthy work-life balance
- Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans
- 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
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