Senior Agentic AI Engineer

Quantum Technologies. LLC; Tampa (FL); On-site; USD 150,000 - 210,000; Full time

Job summary

Quantum Technologies. LLC in Tampa, FL seeks an experienced Senior Agentic AI Engineer with hands-on expertise in Azure AI Foundry to design, deploy, and manage enterprise-grade agentic AI solutions.

You will work with Azure OpenAI, AI Search, Databricks, and LLMOps to build scalable, secure AI agents integrated with enterprise data platforms. Collaboration with stakeholders and cybersecurity teams is essential to deliver AI-driven automation for business workflows.

Qualifications

• Azure AI Foundry – Hands-on building and deploying enterprise AI agents.
• Agentic AI Development – Designing autonomous AI agents and workflows.
• Azure OpenAI – LLMS integration for enterprise GenAI apps.
• Azure AI Search – Enterprise search and knowledge integration.
• Azure Cloud Infrastructure – Provisioning Azure environments for AI workloads.
• LLMOps / MLOps – Deployment, monitoring, and ops pipelines for AI apps.
• CI/CD & Infrastructure as Code – Automating AI solution deployment.
• Azure Security – Private endpoints, RBAC, identity management, networking and keys.
• Databricks Integration – Integrating AI with Databricks and data platforms.
• Monitoring & Optimization – Track usage, cost, latency, performance, adoption.
• Communication Skills – Stakeholder management and presentation skills.

Responsibilities

• Provision, configure, and manage Azure cloud environments for enterprise AI workloads.
• Design, develop, and deploy intelligent AI agents using Azure Foundry and related services.
• Build and manage agentic workflows, LLM-based apps, orchestration, and enterprise integrations.
• Develop CI/CD pipelines and IaC to automate deployment, monitoring, and scaling of agents.
• Implement enterprise security, RBAC, identity management, and content safety controls.
• Integrate AI agents with enterprise systems and the Databricks platform.
• Collaborate with cybersecurity and QA teams to automate AI-driven processes.
• Establish monitoring and observability for AI solutions including cost and latency.
• Optimize AI workloads for scalability, security, and cost efficiency.
• Translate business requirements into scalable AI architectures and solutions.
• Ensure production readiness and governance of deployed AI solutions.

Skills

Azure AI Foundry

Agentic AI Development

Azure OpenAI

Azure AI Search

Azure Cloud Infrastructure

LLMOps / MLOps

CI/CD & IaC

Azure Security

Databricks Integration

Monitoring & Optimization

Communication Skills

Tools

Databricks

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Summary:

We are seeking an experienced Senior Agentic AI Engineer with strong hands-on expertise in Microsoft Azure AI Foundry to design, develop, deploy, and manage enterprise-grade Agentic AI solutions.

The ideal candidate will have deep technical expertise in Azure AI Foundry, Azure OpenAI, AI Search, AI agent development, cloud infrastructure, and LLMOps. This role requires experience building scalable, secure, and production-ready AI agents integrated with enterprise applications and data platforms such as Databricks.

The candidate will work closely with business stakeholders, enterprise architects, cybersecurity teams, and engineering teams to deliver AI-driven solutions supporting enterprise business workflows, cybersecurity, and QA automation initiatives.

Key Responsibilities:

• Provision, configure, and manage Azure cloud environments for enterprise AI workloads, including Azure AI Foundry, Azure OpenAI, Azure AI Search, networking, identity, and key management.
• Design, develop, and deploy intelligent AI agents using Azure AI Foundry and related Azure AI services.
• Build and manage agentic workflows, LLM-based applications, orchestration, and enterprise AI integrations.
• Develop CI/CD pipelines, Infrastructure as Code (IaC), and LLMOps processes to automate the deployment, monitoring, scaling, and management of AI agents.
• Implement enterprise security, compliance, and Responsible AI controls, including Private Endpoints, Role-Based Access Control (RBAC), identity management, and content safety.
• Integrate AI agents and applications with enterprise systems and the Databricks platform to support real-world business processes.
• Collaborate with cybersecurity and QA teams to develop and implement AI-powered automation solutions.
• Establish monitoring and observability for AI solutions, tracking usage, cost, latency, performance, reliability, and adoption.
• Optimize AI workloads for scalability, performance, security, and cost efficiency.
• Work with cross-functional teams to translate business requirements into scalable AI architectures and technical solutions.
• Ensure production readiness, operational stability, governance, and continuous improvement of deployed AI solutions.

Mandatory Skills:

1. Azure AI Foundry – Hands-on experience building and deploying enterprise AI agents.

2. Agentic AI Development – Experience designing and implementing autonomous AI agents and agentic workflows.

3. Azure OpenAI – Strong experience with LLM integration and enterprise GenAI applications.

4. Azure AI Search – Experience with enterprise search, retrieval, and knowledge integration.

5. Azure Cloud Infrastructure – Provisioning and managing Azure environments for AI workloads.

6. LLMOps / MLOps – Building deployment, monitoring, and operational pipelines for AI applications.

7. CI/CD & Infrastructure as Code – Automating AI solution deployment and infrastructure management.

8. Azure Security – Private Endpoints, RBAC, identity management, networking, and key management.

9. Databricks Integration – Experience integrating AI solutions with Databricks and enterprise data platforms.

10. Monitoring & Optimization – AI usage, cost, latency, performance, and adoption monitoring.

11. Communication Skills – Excellent communication, stakeholder management, and presentation skills.

Preferred Skills:

• Experience with enterprise-scale Agentic AI implementations.
• Knowledge of Responsible AI, AI governance, and compliance frameworks.
• Experience with cybersecurity automation and QA automation use cases.
• Strong programming experience in Python.
• Experience with REST APIs, microservices, and enterprise application integrations.
• Familiarity with Azure DevOps, GitHub Actions, Terraform, or Bicep.
• Experience with production deployment and support of GenAI applications.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.