Senior Agentic AI Engineer

Robotics Technologies LLC; Tampa (FL); On-site; USD 140,000 - 210,000; Full time

Job summary

Robotics Technologies LLC in Tampa seeks an experienced Senior Agentic AI Engineer to design, deploy, and manage enterprise AI agents on Azure AI Foundry. You will build scalable, production-ready solutions leveraging Azure OpenAI, AI Search, and Databricks, aligning with business workflows and security requirements.

The role requires hands-on Azure AI Foundry expertise, strong Python skills, and experience delivering AI-enabled automations with robust governance, observability, and cost

Qualifications

• Azure AI Foundry hands-on experience building and deploying enterprise AI agents.
• Agentic AI Development experience designing autonomous AI agents and workflows.
• Azure OpenAI strong experience with LLM integration for GenAI apps.
• Azure AI Search experience with enterprise search and knowledge integration.
• Azure Cloud Infrastructure provisioning and management for AI workloads.
• LLMOps / MLOps building deployment, monitoring, and operations pipelines.
• CI/CD & IaC automation for AI deployments.
• Azure Security covering Private Endpoints, RBAC, identity and keys.
• Databricks integration with AI solutions and enterprise data.
• Monitoring, optimization, and adoption tracking for AI workloads.
• Strong communication and stakeholder management skills.

Responsibilities

• Provision, configure, and manage Azure environments for enterprise AI workloads.
• Design, develop, and deploy intelligent AI agents using Azure AI Foundry and related services.
• Build and manage agentic workflows and LLM-based applications.
• Create CI/CD pipelines and IaC for automated deployment and monitoring.
• Ensure security, compliance, and Responsible AI controls across environments.
• Integrate AI agents with enterprise systems and Databricks platform.
• Collaborate with cybersecurity and QA to deliver automation solutions.
• Establish observability for usage, cost, latency, and performance.
• Drive scalable, secure, and production-ready AI architectures.

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

Agentic AI Implementations

Responsible AI & Governance

Cybersecurity QA Automation

Python

REST APIs

Microservices

Enterprise Integrations

Azure DevOps

GitHub Actions

Terraform / Bicep

GenAI Production Support

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.