Salesforce Developer
Role details
Job location
Tech stack
Job description
Prompt Engineering Workflow Management Dimensional Modeling Technology Ecosystems Business Intelligence Technology Strategies Full Stack Development Artificial Intelligence Business Transformation Extract Transform Load (ETL) Retrieval Augmented Generation Data Analysis Expressions (DAX) Artificial Intelligence Strategy Troubleshooting (Problem Solving) Generative Artificial Intelligence Artificial Intelligence Infrastructure, 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., * Architect AI-Ready Data Platforms: Design and lead the implementation of end-to-end data and AI architectures on Microsoft Fabric - spanning OneLake, lakehouse, data engineering, Microsoft Purview and Fabric Data Agents - engineered to serve as the trusted foundation for Gen AI and analytics workloads.
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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.
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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.
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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.
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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.
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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.
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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.
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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., Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools. Related Jobs Practice Architect- AI/ML TEKsystems
Phoenix, AZ*Remote
Power BI Textiles Dashboard Pipelines Operations Leadership Mentorship Innovation Upskilling Code Review Scalability Data Quality Cloud Design Communication Data Modeling Data Pipelines Responsible AI Microsoft Azure Data Governance Solution Design Azure AI Studio Customer Service Machine Learning Data Engineering Microsoft Fabric Microsoft Copilot Knowledge Transfer Business Valuation Prompt Engineering Workflow Management Dimensional Modeling Technology Ecosystems Business Intelligence Technology Strategies Full Stack Development Artificial Intelligence Business Transformation Extract Transform Load (ETL) Retrieval Augmented Generation Data Analysis Expressions (DAX) Artificial Intelligence Strategy Troubleshooting (Problem Solving) Generative Artificial Intelligence Artificial Intelligence Infrastructure
Requirements
Textiles Dashboard Pipelines Operations Leadership Mentorship Innovation Upskilling Code Review Scalability Data Quality Cloud Design Communication Data Modeling Data Pipelines Responsible AI Microsoft Azure Data Governance Solution Design Azure AI Studio Customer Service Machine Learning Data Engineering Microsoft Fabric Microsoft Copilot Knowledge Transfer, * 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 Azure.
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Core Technical Skills:
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Microsoft Fabric - OneLake, lakehouse, data engineering, real-time analytics, and Fabric Data Agents.
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Microsoft Foundry and Azure AI Studio - building, evaluating, and deploying Gen AI applications and agents.
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Microsoft Copilot - designing, extending, and operationalizing copilot and agentic experiences.
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Generative AI - RAG, prompt engineering, embeddings/vector search, model selection, fine-tuning, and evaluation.
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Power BI - semantic modeling, DAX, Power Query, Copilot for Power BI, and integration with Fabric.
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Data Modeling & Data Engineering - dimensional modeling, medallion architecture, ETL/ELT, and pipeline orchestration using Azure-native tools.
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Data Governance and data quality using Microsoft Purview ecosystem.
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Hands-On Mindset: Proven ability to perform technical implementation, troubleshooting, and optimization across data and AI workloads in fast-paced environments.
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Flexibility: Versatility in leading varied engagements - from AI proof-of-concepts and modernizations to enterprise-scale intelligent platforms.
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Communication: Excellent verbal and written communication skills, with the ability to articulate complex AI and data concepts to technical and non-technical audiences and to facilitate workshops. Job Type & Location
Benefits & conditions
This is a Permanent position based out of Phoenix, AZ. Pay and Benefits
The pay range for this position is $136000.00 - $204000.00/yr.
We reserve the right to pay above or below the posted wage based on factors unrelated to sex, race, or any other protected classification. Additional earnings may be available through incentive programs like annual bonuses, profit sharing, etc. Our full-time, internal employment benefits include the following:
- Medical, Dental, and Vision
- Critical Illness, Accident, and Hospital
- 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
- Life Insurance (Voluntary Life and AD&D for employee and dependents)
- Short and Long-Term Disability
- Health Spending Account (HSA)
- Transportation Benefits
- Employee Assistance Program
- Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type