Practice Architect- AI​/ML

Azure Practice Architect (AI/ML)

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Here's what the opportunity supported through our TGS Talent Acquisition Team requires:

The Azure Practice Architect (AI/ML) will serve as a senior technical leader at the intersection of enterprise data engineering and applied Generative AI. Building on a deep, career-long Microsoft data foundation. Practice Architect will design, architect, and deliver intelligent, production-grade solutions spanning Microsoft Fabric, Microsoft Foundry, Azure AI Studio, Microsoft Copilot, and modern Gen AI patterns. With a hands-on approach, he/she will lead the transformation of data platforms into AI-ready ecosystems – combining robust data modeling, engineering, and Power BI analytics with retrieval-augmented generation, agentic workflows, and LLM
-powered applications. This role demands the versatility to lead diverse engagements, from AI proof-of-concepts to enterprise-scale intelligent platforms, while fostering innovation, responsible AI practices, and measurable client success.

Key Responsibilities

• Architect AI-Ready Data Platforms:
  Design and lead the implementation of end-to-end data and AI architectures on Microsoft Fabric – spanning One Lake, lakehouse, data engineering, Microsoft Purview and Fabric Data Agents – engineered to serve as the trusted foundation for Gen AI and analytics workloads.
• Generative AI Solution Design:
  Architect and deliver Gen AI solutions using Microsoft Foundry and Azure AI Studio, including RAG pipelines, prompt engineering, model selection and evaluation, grounding on enterprise data, fine-tuning, and safe, scalable deployment of LLM
  -powered applications. Operationalize Microsoft Copilot experiences and custom copilots/agents, integrating enterprise data sources.
• Data Engineering & Modeling Excellence:
  Build and optimize enterprise-grade data pipelines and semantic models – applying best practices in dimensional modeling, medallion architecture, ETL / ELT, and data quality – to make data reliable, governed, and consumable by AI systems.
• Power BI & Intelligent Analytics:
  Develop and optimize interactive Power BI dashboards and semantic models, embedding Copilot and AI-driven insights, natural-language querying, and real-time reporting over large-scale datasets.
• Hands-On Delivery:
  Actively contribute to code development, notebook and pipeline authoring, prompt and agent development, evaluation, and deployment across Azure environments – rolling up your sleeves to unblock teams and keep engagements moving.
• Engagement Leadership:
  Drive AI/ML and data engagements end-to-end – from discovery, use-case shaping, and solution scoping through deployment, optimization, and knowledge transfer – adapting to diverse client needs and evolving Microsoft AI capabilities.
• Collaboration & Innovation:
  Partner with data engineers, data scientists, business stakeholders, and Microsoft field teams to align AI solutions with business value; stay ahead of the Microsoft AI roadmap to recommend forward-thinking, differentiated architectures.
• Mentorship & Best Practices:
  Guide and upskill team members on Fabric, Gen AI, and agentic patterns; conduct design and code reviews; and champion reusable accelerators, reference architectures, and delivery standards.

Required Qualifications

• Experience:
  
  12+ years of hands-on data engineering experience, with a Microsoft data technology background sustained throughout your career and demonstrable delivery of AI/ML and Gen AI solutions on…