Lead enterprise conversational and agentic AI delivery for scalable AI-powered applications in a remote role based in Minneapolis.

Drive hands-on solution design and architecture based on client requirements
Lead onshore and offshore development teams while developing conversational AI and agentic AI components
Collaborate with QA and UAT teams to support testing, resolve issues, and help ensure successful project delivery
Work with architects, developers, QA teams, product stakeholders, and business leaders to build scalable AI applications using modern cloud technologies and large language models

10-14 years of experience in software engineering, solution design, and technical leadership with demonstrated success delivering enterprise-scale conversational AI or Generative AI solutions
AWS Lex or any other deterministic bot experience
AWS Bedrock and Bedrock AgentCore experience
AWS Strands SDK / framework experience
Voice bot and chat bot development experience
Agentic AI application development and orchestration experience
Intent modeling, conversation design, prompt engineering, and NLU concepts
LLM application development, tool calling, function calling, and agent workflows
Hands-on experience building production-grade Generative AI applications using Amazon Bedrock
Experience developing and orchestrating AI agents using Bedrock AgentCore and AWS Strands
Experience with LLM orchestration frameworks, tool integrations, and multi-agent workflows
Retrieval-Augmented Generation (RAG) architectures experience (optional)
Prompt engineering experience plus model evaluation, grounding, and agent performance tuning
Enterprise AI agent security experience, including guardrails, prompt injection mitigation, data protection, access controls, and responsible AI controls
Experience optimizing LLM agents for accuracy, latency, scalability, reliability, observability, and cost efficiency
Experience monitoring and troubleshooting production AI agents and conversational AI systems

Strong hands-on experience with AWS services including Amazon Bedrock, Bedrock AgentCore, AWS Lambda, Amazon S3, DynamoDB, API Gateway, IAM, and CloudWatch
Secure AI/LLM deployment patterns and cloud-native agent architectures experience (plus)

AWS certifications such as AWS Certified AI Practitioner, AWS Certified AI Engineer, or equivalent
Experience with multi-agent systems and advanced agent orchestration patterns
Experience with AI tools such as GitHub Copilot, ChatGPT, Cursor, Claude, or similar development accelerators (one tool is a must)
Experience with conversational analytics, agent evaluation frameworks, and bot performance optimization
Experience implementing Responsible AI, AI governance, compliance, and enterprise AI security controls

Annual salary: USD 110,000 - 130,000 (depending on experience and qualifications)
Eligible for Cognizant’s discretionary annual incentive program, subject to plan terms

Senior Agentic AI Engineer - Conversational AI

Job Description