Senior Agentic AI Engineer

• Job ID:

J54466

• Job Title:

Senior Agentic AI Engineer

• Location:

Tampa, FL

• Duration:

8 Months + Extension

• Domain Exposure:

Utilities/ Energy

• Client:

To Be Discussed Later

• Employment Type:

W-2, 1099, C2C

• Work Authorization:

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

Job Title: Senior Agentic AI Engineer

Location: Tampa, FL

Duration: 8 Months + Extension

Bill Rate: $73/hour (C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

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.

Equal Opportunity

Employer

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.