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# Senior Agentic AI Engineer (Remote)

- **Company:** Cognizant Technology Solutions Corporation
- **Location:** Montgomery, AL, United States (Remote available)
- **Experience:** Expert
- **Salary:** $100,000.0 - $130,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Cloud Computing, Cloud Engineering, Cursor, Amazon DynamoDB, Identity and Access Management, Lex (Software), Performance Tuning, Software Engineering, GitHub Copilot, Large Language Models, Multi-Agent Systems, Prompt Engineering, Model Validation, AgentCore, Generative AI, AWS Lambda, Agentic-AI, Kubernetes, Amazon Bedrock, Low Latency, Claude, Invoking Functions, Cloudwatch, Api Gateway, GPT, Natural Language Understanding
- **Published:** October 4, 2026
- **Apply:** https://dejobs.org/x/x/36C95E502D1E4BFB88D1B1811162B662/job/

## About the Role

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.