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Data & AI Architect

VSG Business Solutions LLC

F2F require

Data & AI Architect Responsibilities

  • Partner with business and operational stakeholders to identify, clarify, and scope complex or emerging data and AI use cases.
  • Translate ambiguous business needs into clear, actionable technical requirements and secure stakeholder approval.
  • Architect end-to-end data and AI solutions across ingestion, storage, transformation, modeling, serving, and consumption layers.
  • Design solutions using agentic development and AI-assisted tooling , while maintaining security, governance, quality, and scalability.
  • Establish architecture patterns and standards across multi-cloud and multi-database environments.
  • Collaborate with engineering, data science, platform, and product teams to move solutions from concept through production.
Data & AI Architect Qualifications

Critical Requirements

  • 8+ years in data engineering, data architecture, software engineering, or a related field, including 6+ years in architecture-focused roles .
  • Hands-on experience across at least two major cloud platforms, such as Azure, AWS, or GCP .
  • Strong knowledge of relational, NoSQL, analytical/warehouse, vector, or graph databases.
  • Practical AI/ML and GenAI experience, including LLMs, RAG, ML pipelines, and model orchestration .
  • Proven stakeholder-facing requirements gathering and communication skills.
  • Experience with agentic development tooling / AI-assisted development workflows .
Data & AI Architect Preferred Qualifications
  • Recent Microsoft Azure experience, including Azure Data Services, Synapse/Fabric, Azure OpenAI, or Azure ML.
  • Microsoft Copilot experience, including GitHub Copilot, Copilot Studio, or M365 Copilot.
  • Experience with enterprise data governance, MLOps, responsible AI, or public-sector/transit/infrastructure environments.
  • Relevant cloud or data architecture certifications.

This Data & AI Architect opportunity is ideal for a hands-on technology leader who can turn complex business challenges into secure, scalable, production-ready AI and data solutions.

Vacancy posted 3 days ago
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