Note: The job is a remote job and is open to candidates in USA. Cognizant is hiring a Conversational AI Platform Engineer to design, develop, and deploy enterprise-grade conversational AI and agentic AI solutions using AWS services and large language models. The role collaborates with cross-functional teams and improves AI agents and conversational systems for accuracy, scalability, reliability, 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
Benefits
- Remote position open to qualified applicants in the United States
- Wellbeing programs
- 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
Company Overview