Agentic AI Engineer-Atlanta, GA, Charlotte, NC, Tampa, FL, Raleigh, NC, Durham, NC, Orlando, FL, Columbia, SC.

Job Title: Agentic AI Engineer
Location: Atlanta, GA, Charlotte, NC, Tampa, FL, Raleigh, NC, Durham, NC, Orlando, FL, Columbia, SC.
Looking for W2 candidates. No C2C

Job Summary
We are seeking an experienced Agentic AI Engineer Lead to drive the design, development, and implementation of enterprise-grade AI agent solutions using Azure AI Foundry and AWS Bedrock. The ideal candidate will lead AI automation initiatives, define product roadmaps, collaborate with cross-functional stakeholders, and build scalable Agentic AI applications that enhance business processes.

Key Responsibilities

• Lead the design, development, and deployment of enterprise Agentic AI solutions using Azure AI Foundry and AWS Bedrock.
• Define and maintain the AI product roadmap, backlog, and feature prioritization in collaboration with business and technical stakeholders.
• Design scalable AI agent architectures and automation workflows for enterprise use cases.
• Develop intelligent AI applications using Python, SQL, and data processing libraries such as Pandas.
• Build, integrate, and optimize AI agents leveraging Large Language Models (LLMs) and cloud AI services.
• Collaborate with cross-functional teams throughout the software development lifecycle using Agile methodologies.
• Participate in sprint planning, backlog grooming, code reviews, and technical design discussions.
• Ensure best practices in software engineering, testing, security, and deployment.
• Troubleshoot, optimize, and enhance AI solutions for scalability, reliability, and performance.
• Provide technical leadership, mentoring, and guidance to development teams.
• Communicate effectively with business stakeholders to translate requirements into technical solutions.

Required Qualifications

• Strong experience developing AI agents using:
• Azure AI Foundry
• AWS Bedrock
• Experience designing AI automation workflows and enterprise AI solutions.
• Python
• SQL
• Pandas
• Experience with cloud-native application development on Azure and/or AWS.
• Understanding of AI agent orchestration, Large Language Models (LLMs), and AI automation concepts.
• Experience working in Agile/Scrum environments.
• Familiarity with Agile testing processes and software quality best practices.
• Excellent problem-solving, analytical, and debugging skills.
• Strong communication and stakeholder management skills.

Preferred Qualifications

• Experience with multi-agent architecture and AI orchestration frameworks.
• Knowledge of Retrieval-Augmented Generation (RAG), prompt engineering, and vector databases.
• Experience integrating AI solutions with enterprise applications and APIs.
• Familiarity with CI/CD pipelines and DevOps practices.
• Experience mentoring or leading software engineering teams.
• Azure or AWS cloud certifications are a plus.

Technical Skills

• AI & Cloud
• Agentic AI
• Azure AI Foundry
• AWS Bedrock
• Large Language Models (LLMs)
• AI Automation
• Programming
• Python
• SQL
• Pandas
• Cloud Platforms
• Microsoft Azure
• Amazon Web Services (AWS)
• Development Tools
• Git
• Jira

Best Regards:

Lucy Rose
Phone:
Email: