What are the responsibilities and job description for the Azure OpenAI Specialist position at Maverick Technology Partners?
6-month on-site contract role in Pontiac, MI (for the right person, may consider remote or hybrid).
Must be able to work without sponsorship.
We seek an experienced Azure OpenAI Specialist to serve in a consultatory role and support the enterprise-wide deployment of Azure OpenAI services in a GCC-High tenant to a user base of approximately 2,500 employees. This role will involve end-user support, platform administration, governance implementation, and process development to ensure a secure, scalable, and effective rollout.
The ideal candidate will have a strong grasp of Azure OpenAI, AI governance practices, and enterprise IT environments. They will also have a user-focused mindset to guide adoption and ensure responsible AI usage.
Key Responsibilities:
- End User Support & Enablement
- Provide support for end user questions, troubleshooting, and onboarding.
- Provide documentation, training, and guidance for non-technical users.
- Work with business units to identify high-impact use cases and assist with solution implementation.
Must-Have Skills:
- Proven experience working with Azure OpenAI Service (GPT, embedding models, etc.)
- Strong understanding of Azure administration, including identity (AAD), networking, and resource governance.
- Knowledge of LLM lifecycle management and evaluation methods.
- Experience in AI governance, security controls, and responsible AI frameworks.
- Familiarity with prompt engineering, use case discovery, and AI-driven productivity tools.
- Excellent communication skills for working with both technical teams and business users.
- Ability to support and train non-technical users and facilitate adoption across departments.
Nice-to-Have Skills:
- Experience with Power Platform, Logic Apps, Azure Functions for automation.
- Familiarity with Microsoft Purview or other data governance solutions.
- Exposure to compliance frameworks such as CMMC, NIST, ITAR, and/or internal enterprise AI policies.
- Understanding of enterprise change management and user adoption strategies.
