Agentic AI Engineer - Conversational AI

Build and deliver enterprise conversational and agentic AI capabilities in a cloud-native AWS environment.

Responsibilities

• Lead distributed development teams across onshore and offshore locations
• Design, develop, and implement conversational AI and agentic AI solutions based on client requirements
• Architect scalable, secure, high-performing cloud-native AI applications on AWS
• Partner with QA and UAT teams to support testing, validation, and deployment
• Drive technical excellence using best practices across software engineering, AI agent development, and application modernization

Requirements

• 6-10 years of experience in software engineering, including hands-on work building conversational AI, Generative AI, or cloud-native applications
• Experience with AWS Lex or Any Other Deterministic Bot
• Hands-on experience with AWS Bedrock and Bedrock AgentCore
• Experience with AWS Strands SDK / Framework
• Experience with Voice Bot and Chat Bot development
• Experience building and orchestrating agentic AI applications
• Knowledge of intent modeling, conversation design, prompt engineering, and NLU concepts
• Experience with LLM application development, tool calling, function calling, and agent workflows
• Strong hands-on experience with AWS services including: Amazon Bedrock, Bedrock AgentCore, AWS Lambda, Amazon S3, DynamoDB, API Gateway, IAM, CloudWatch
• Knowledge of secure AI/LLM deployment patterns and cloud-native agent architectures (Plus)
• 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
• Experience implementing Retrieval-Augmented Generation (RAG) architectures (Optional)
• Experience with prompt engineering, model evaluation, grounding, and agent performance tuning
• Experience securing enterprise AI agents 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

Technologies

• AWS Lex
• AWS Bedrock
• Bedrock AgentCore
• AWS Strands SDK / Framework
• Amazon Bedrock
• AWS Lambda
• Amazon S3
• DynamoDB
• API Gateway
• IAM
• CloudWatch
• Retrieval-Augmented Generation (RAG)
• LLM orchestration frameworks

Benefits

• 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

Work Model

• Remote position

Location

• Minneapolis, MN

These Will Help You Stand Out

• 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 using 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

Compensation

• Annual salary: $90,000 - $101,000 (depending on experience and other qualifications)
• Eligible for Cognizant’s discretionary annual incentive program based on performance and terms of applicable plans