Senior Agentic AI Engineer

**In this role, you will:** * Lead Dev team across onshore and Offshore * Hands on Dev, Design and architecture based on the client requirement * Support QA and UAT team **Work model:** We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a **remote** position open to qualified applicants in Minneapolis \- MN. Regardless of your working arrangement, we are here to support a healthy work\-life balance though our various wellbeing programs **What you must have to be considered:** **Conversational AI \& Agentic AI Platforms (MUST)** * AWS Lex or Any Other Deterministic Bot * AWS Bedrock and Bedrock AgentCore * AWS Strands SDK / Framework * Voice Bot and Chat Bot development * Agentic AI application development and orchestration * Intent modeling, conversation design, prompt engineering, and NLU concepts * LLM application development, tool calling, function calling, and agent workflows **Cloud \& Infrastructure (MUST) 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 – Will be a Plus **Generative AI \& Agent Engineering (MUST)** * 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. **Preferred Qualifications** * 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 of the tools is a MUST). * Experience with conversational analytics, agent evaluation frameworks, and bot performance optimization (MUST). * Experience implementing Responsible AI, AI governance, compliance, and enterprise AI security controls. **Salary and Other Compensation:** The annual salary for this position is between $ 90,000– $ 100,000 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant’s discretionary annual incentive program,