AI Business Analyst (Azure)

TL;DR

AI Business Analyst (Azure): Designing and implementing AI/ML solutions for various clients with an accent on RAG systems and multi-agent architectures. Focus on translating business goals into technical scopes and designing high-level system architectures using the C4 model.

Location: Remote

Company

hirify.global is a software development outsourcing company specializing in EdTech, Fintech, eCommerce, and Pharma.

What you will do

• Lead discovery sessions with clients to define business goals and translate them into clear requirements.
• Contribute to AI-driven prototyping and solution shaping for LLM, RAG, and multi-agent systems.
• Collaborate with stakeholders, PMs, and development teams to turn raw ideas into a structured scope.
• Design high-level architecture diagrams (C4 model) and plan AI integrations with enterprise systems like ERP, CRM, and DWH.
• Write, refine, and prioritize user stories and acceptance criteria in the project backlog.

Requirements

• 5+ years of experience in designing and implementing AI and ML solutions.
• Deep understanding of AI/ML system architecture, including MLOps, data pipelines, model deployment, and monitoring.
• Experience with Microsoft Azure AI platforms (Azure ML, Cognitive Services, Copilot Studio) or AWS SageMaker/GCP Vertex AI.
• Advanced knowledge of Python and experience with PyTorch, TensorFlow, LangChain, HuggingFace, and OpenAI SDK.
• Ability to prepare Solution Design and Architecture Diagrams using the C4 model.
• Knowledge of the Ukrainian language.

Nice to have

• Experience implementing Copilot-like solutions integrated with Microsoft 365, Teams, or SharePoint.
• Experience optimizing the cost and performance of AI solutions.
• Certifications such as Azure AI Engineer, AWS ML Specialty, or TOGAF.
• Experience with R&D projects, PoCs, and MVPs based on LLMs.
• Previous experience as a team leader or mentoring technical specialists.

Culture & Benefits

• Fully remote work environment.
• Flexible hourly-based freelance opportunities.
• Professional and welcoming atmosphere within a project-based team.
• Opportunity to work on cutting-edge AI solutions across diverse industry verticals.

Hiring process

• Recruiting interview (30-45 min).
• Technical interview (1-1.5 hours).
• Client interview (optional) and reference check.