AI Solutions,Consultant
AI in this role
Master Works is seeking an AI Solutions Consultant to serve as the bridge between enterprise business requirements and modern AI capabilities. This role identifies, qualifies, and architects high-impact AI use cases across business units, then drives the technical implementation using Azure AI infrastructure, Microsoft Foundry, and Copilot Studio. The consultant designs secure, scalable architectures integrating cloud AI models with on-premises enterprise data assets.
Key Responsibilities
- Partner with cross-functional stakeholders to discover, evaluate, and prioritize enterprise AI use cases tied to clear business outcomes.
- Design and implement end-to-end conversational and autonomous AI agents using Microsoft Foundry, Foundry Agent Service, and Microsoft Copilot Studio.
- Configure Azure AI model inference, orchestrating appropriate models (frontier LLMs, SLMs, domain-specific models) within enterprise cost and performance boundaries.
- Manage Azure subscription resources, implementing cost governance, capacity planning, and Pay-As-You-Go (PAYG) vs. provisioned throughput allocation.
- Build enterprise system integrations utilizing Microsoft Power Platform custom and pre-built connectors.
- Architect and secure hybrid connectivity between cloud AI services and local data sources using On-Premises Data Gateways.
- Define responsible AI guardrails, content filtering, prompt engineering standards, and role-based access control (RBAC).
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field.
- 8+ years of experience in enterprise IT architecture or technical consulting, with at least 2 years dedicated to generative AI, NLP, and agentic workflows.
- Hands-on implementation experience with Microsoft Foundry / Azure AI Studio, Azure OpenAI Service, and Copilot Studio.
- Deep knowledge of Azure resource management, subscription billing models, and hybrid networking patterns.
- Strong proficiency in API integrations (REST, JSON, OAuth2) and Microsoft Power Platform administration.
- Proven ability to translate abstract business challenges into functional technical specifications.
- Microsoft Certified: Azure AI Engineer Associate (AI-102), Microsoft Certified: Power Platform Solution Architect Expert (PL-600), and Microsoft Azure Solutions Architect Expert (AZ-305) certifications are preferred.
- Prompt engineering, Retrieval-Augmented Generation (RAG) architecture, Python / C#, Power Automate, and enterprise data governance skills are preferred.
Job Location: Client Site
How we rate this
AI Solutions,Consultant at Master-Works rates 71 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- What NLP problem have you worked on, and how did you measure whether it actually worked?
- How do you think about the risk of an AI system in this kind of role failing silently?
Adapt your resume
- List these exact terms on your resume: Prompt Engineering, RAG, AI Agents, NLP, and AI Safety. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
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