Senior Agentic AI Engineer

Robotics Technologies is hiring a Senior Agentic AI Engineer to build and operate enterprise-grade Agentic AI solutions on Microsoft Azure. This onsite role in Tampa, FL focuses on designing agentic workflows, deploying reliable LLM applications, and implementing security, governance, and observability so AI systems can perform in production.

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.
• Create CI/CD pipelines, apply Infrastructure as Code (IaC), and implement LLMOps processes for automation across deployment, monitoring, scaling, and management of AI agents.
• Implement enterprise security, compliance, and Responsible AI controls, including Private Endpoints, RBAC, identity management, and content safety.
• Integrate AI agents and applications with enterprise systems and Databricks to support real-world business processes.
• Collaborate with cybersecurity and QA teams to 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.
• Translate business requirements into scalable AI architectures and technical solutions with cross-functional teams.
• Maintain production readiness, operational stability, governance, and continuous improvement of deployed AI solutions.

Requirements

• Azure AI Foundry: hands-on experience building and deploying enterprise AI agents.
• Agentic AI Development: experience designing and implementing autonomous AI agents and agentic workflows.
• Azure OpenAI: strong LLM integration experience for enterprise GenAI applications.
• Azure AI Search: experience with enterprise search, retrieval, and knowledge integration.
• Azure Cloud Infrastructure: provisioning and managing Azure environments for AI workloads.
• LLMOps / MLOps: building deployment, monitoring, and operational pipelines for AI applications.
• CI/CD & Infrastructure as Code: automating AI solution deployment and infrastructure management.
• Azure Security: Private Endpoints, RBAC, identity management, networking, and key management.
• Databricks Integration: experience integrating AI solutions with Databricks and enterprise data platforms.
• Monitoring & Optimization: AI usage, cost, latency, performance, and adoption monitoring.
• Communication Skills: excellent communication, stakeholder management, and presentation skills.

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.

Role Details

• Location: Tampa, FL (onsite)
• Pay: USD 73 per hour
• Duration: 8 Months + Extension
• Job ID: J54466
• Employment type: W-2, 1099, C2C
• Bill rate: $73/hour (C2C)
• Work authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other
• Domain exposure: Utilities/ Energy
• Client: To Be Discussed Later

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.