Senior Agentic AI Engineer

Valiant Technologies LLC

Tampa (FL)

On-site

USD 140,000 - 190,000

Full time

12 hours ago
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Job summary

Valiant Technologies LLC in Tampa, FL seeks a Senior Agentic AI Engineer to design, deploy, and manage enterprise-grade AI agents using Azure AI Foundry. You will build scalable, secure AI solutions integrated with Databricks and enterprise data platforms, collaborating with architects, cybersecurity, and QA teams.

The ideal candidate brings hands-on Azure AI Foundry and Azure OpenAI experience, proficiency in LLM integration, and a track record of production-ready AI workflows and

Qualifications

  • Experience with enterprise-scale Agentic AI implementations.
  • Experience with Azure AI Foundry and Azure OpenAI in enterprise environments.
  • Knowledge of security, privacy, and Responsible AI controls.

Responsibilities

  • Provision, configure, and manage Azure cloud environments for enterprise AI workloads.
  • Design, develop, and deploy intelligent AI agents using Azure AI Foundry and related services.
  • Build and manage agentic workflows, LLM-based applications, and enterprise integrations.
  • Develop CI/CD pipelines and IaC for automating deployment, monitoring, and scaling of AI agents.
  • Implement security, RBAC, and governance for AI solutions.
  • Integrate AI agents with enterprise systems and Databricks.
  • Collaborate with cybersecurity and QA teams to deliver AI-driven automation.

Skills

Azure AI Foundry
Agentic AI Development
Azure OpenAI
Azure AI Search
Azure Cloud Infrastructure
LLMOps
CI/CD & IaC
Azure Security
Databricks Integration
Monitoring & Optimization
Communication Skills

Tools

Databricks
Terraform/Bicep
Azure DevOps

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.

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