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

Job Title: Agentic AI Engineer 
Location: Durham, NC, Orlando, FL, Columbia, SC, Atlanta, GA, Charlotte, NC, Tampa, FL, Raleigh, NC.
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: +1-
Email: