Microsoft Ai & Automation Engineer, Productivity Intelligence, VP
MUFG · Tampa, FL · 2 mo ago
On-siteEngineering$127–$205/hrFull-time
Key Responsibilities
- Platform Strategy & Enterprise Architecture
- Copilot Studio Agent Development & Enablement
- Power Platform Architecture & Automation
- Azure AI Foundry & Advanced AI Solutions
- API Integration & Data Connectivity
- Governance, Security & Responsible AI
- Citizen Development & Enterprise Enablement
- Performance Monitoring & Continuous Improvement
Required Qualifications
- 5–8+ years of experience delivering business applications and automation solutions, including 3–5+ years with the Microsoft Power Platform.
- 2+ years of hands-on experience building agents in Microsoft Copilot Studio, including conversation design and orchestration.
- Strong programming skills in Python, C#, or JavaScript, with experience building and consuming RESTful APIs.
- Experience with Azure cloud services and AI workloads, including Azure AI Foundry, Azure OpenAI, and Azure AI Search.
- Solid understanding of LLMs, prompt engineering, RAG, and vector search techniques within the Microsoft ecosystem.
- Proven ability to lead technical design, establish standards, and operate independently in a large enterprise.
- Strong stakeholder communication skills with both technical and non-technical audiences.
- Experience in financial services or other highly regulated environments.
- Bachelor’s degree in Computer Science, Software Engineering, or a related field.
Preferred Qualifications
- 2+ years building AI agents using Copilot Studio and Azure AI Foundry.
- Familiarity with Microsoft Purview and Responsible AI compliance tooling.
- Experience with CI/CD pipelines using Azure DevOps or GitHub Actions.
- Knowledge of enterprise Responsible AI governance processes.
- Microsoft certifications (PL-400, PL-600, AI-102, AZ-305).
- Demonstrated leadership in piloting or scaling AI and automation solutions.
- Leverage Lean / Agile delivery experience.