Senior Agentic AI Engineer

Robotics Technologies; Tampa (FL); On-site; USD 83,000 - 118,000; Full time

Job summary

Robotics Technologies in Tampa, FL is seeking a Senior Agentic AI Engineer to design, build, deploy and operate enterprise-grade Agentic AI solutions using Azure Foundry and related services.

You will lead AI agent development, implement LLMOps, automation, security, and governance, and integrate with Databricks and enterprise systems. This role requires strong Python, CI/CD, IaC, and DevOps practices, with onsite work and an 8-month horizon.

Qualifications

• Hands-on experience with Azure AI Foundry for enterprise AI agents.
• Experience in Agentic AI development with autonomous agents.
• Azure OpenAI experience with LLM integration for GenAI apps.
• Azure AI Search experience for enterprise search and knowledge integration.
• Provisioning and management of Azure cloud infrastructure for AI workloads.
• Experience with LLMOps / MLOps and CI/CD pipelines for AI apps.
• CI/CD and IaC experience to automate AI deployments.
• Azure security experience including Private Endpoints, RBAC, identity management.
• Experience integrating AI solutions with Databricks and enterprise data platforms.
• Strong monitoring and optimization for AI usage, cost, latency, and adoption.
• Excellent communication skills for stakeholder management and presentation.

Responsibilities

• Provision and manage Azure environments for enterprise AI workloads.
• Design, develop, and deploy intelligent AI agents using Azure AI Foundry.
• Build and manage agentic workflows and LLM-based applications.
• Develop CI/CD pipelines, IaC, and LLMOps for deployment and operations.
• Implement security and Responsible AI controls (RBAC, Private Endpoints).
• Integrate AI agents with Databricks and enterprise systems.
• Collaborate with cybersecurity and QA teams on AI automation.
• Establish monitoring for usage, cost, latency, and performance.
• Ensure production readiness and governance of deployed AI solutions.
• Translate business requirements into scalable AI architectures.

Skills

Azure AI Foundry

Agentic AI development

Azure OpenAI

Azure AI Search

LLMOps / MLOps

CI/CD

Infrastructure as Code

Azure security

Databricks

Python

REST APIs

Microservices

Azure DevOps

Tools

Terraform

Bicep

GitHub Actions

Azure DevOps

Databricks

Job description

This role is for a Senior Agentic AI Engineer in Tampa, Florida, focused on designing, building, deploying, and operating enterprise-grade Agentic AI solutions. The work emphasizes Microsoft Azure AI Foundry and related Azure services, including LLMOps and CI-CD automation, security and Responsible AI controls, and integrations with enterprise systems and Databricks.

Key Responsibilities

• Provision, configure, and manage Azure 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 associated 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 deployment, monitoring, scaling, and operational 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.
• Partner with cybersecurity and QA teams to develop and deliver 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.
• Collaborate 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.

Required Qualifications

• Hands-on experience with Azure AI Foundry, including building and deploying enterprise AI agents.
• Experience in Agentic AI development, including autonomous AI agents and agentic workflows.
• Azure OpenAI experience with LLM integration and enterprise GenAI applications.
• Azure AI Search experience with enterprise search, retrieval, and knowledge integration.
• Proven ability to provision and manage Azure cloud infrastructure for AI workloads.
• Experience with LLMOps / MLOps, including deployment, monitoring, and operational pipelines for AI applications.
• CI/CD and Infrastructure as Code experience to automate AI solution deployment and infrastructure management.
• Azure security experience, including Private Endpoints, RBAC, identity management, networking, and key management.
• Experience integrating AI solutions with Databricks and enterprise data platforms.
• Strong monitoring and optimization capability for AI usage, cost, latency, performance, and adoption.
• Excellent communication skills, including stakeholder management and presentation capabilities.

Technologies

• Microsoft Azure AI Foundry, Azure OpenAI, Azure AI Search
• LLMOps, MLOps, CI/CD
• Infrastructure as Code (IaC)
• Private Endpoints, Role-Based Access Control (RBAC)
• Databricks
• Python, REST APIs, microservices
• Azure DevOps, GitHub Actions
• Terraform, Bicep, Azure

Location, Duration, and Pay

• Location: Tampa, FL (onsite)
• Duration: 8 Months + Extension
• Bill Rate: USD 73/hour (C2C)
• Job ID: J54466
• Domain Exposure: Utilities/ Energy

Employment Details

• Employment Type: W-2, 1099, C2C
• Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

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.

Additional Information

• Client: To Be Discussed Later