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Senior Azure Data and AI Solutions Architect
Design and deliver Azure data platforms, generative AI, and machine learning solutions for Avanade’s consulting clients. Lead discovery, architecture, and hands-on implementation from strategy through production.
विवरण
- Lead discovery sessions, workshops, and solution design with business, data, and technology stakeholders.
- Design end-to-end Microsoft Azure data and AI solutions spanning ingestion, platforms, models, applications, and consumption.
- Translate business objectives and use cases into target architectures, technical roadmaps, estimates, and delivery plans.
- Develop and modernize data platforms using Microsoft Fabric, Azure Databricks, and other relevant Azure services.
- Design and implement data pipelines, integrations, and data products for batch, streaming, and real-time scenarios.
- Own data architecture, modeling, quality, metadata, governance, security, and access controls.
- Shape and build generative AI and conventional AI/ML solutions using technologies such as Azure AI Foundry, Azure OpenAI, and Azure Machine Learning.
- Evaluate whether generative AI, conventional AI/ML, analytics, or traditional data solutions best address each client need.
- Contribute hands-on code, integrations, prototypes, and production-oriented implementations designed for transparency, cost control, and lifecycle management.
- Serve as a technical advisor in client engagements and coach data engineers, developers, architects, and data scientists throughout delivery.
- Track Microsoft’s evolving data and AI strategy and turn new capabilities into relevant, practical client solutions.
आवश्यकताएँ
- Several years of experience designing and delivering advanced data and AI solutions on Microsoft Azure.
- Demonstrated solution design experience spanning needs analysis, architecture, estimation, technical decisions, and delivery.
- Strong background in data architecture and modern data platforms, including lakehouses, data warehouses, data products, and integration architecture.
- Hands-on data engineering experience with pipelines, transformation, orchestration, modeling, and performance optimization.
- Strong knowledge of Microsoft Fabric, Azure Databricks, or comparable Azure-based data and analytics services.
- Practical generative AI experience, such as RAG, agent-based solutions, model evaluation, or integrating language models into applications.
- Understanding of conventional AI/ML and the requirements for developing, deploying, and maintaining models in production.
- Hands-on proficiency in Python and SQL, with experience using APIs, Git, CI/CD, and modern development and integration patterns.
- Ability to design for data quality, metadata, governance, identity, security, observability, and cost control.
- Proven consulting experience, including building trust, leading client conversations, and connecting technical decisions to business value.
- Ability to explain complex technical choices clearly to executives, architects, and delivery teams.
- Excellent spoken and written Swedish and English.
- Preferred: Deep experience with data warehousing and medallion architecture.
- Preferred: Experience with Microsoft Fabric, Databricks, or similar technologies.
- Preferred: Experience with Azure AI Foundry, Azure OpenAI, Azure Machine Learning, or Microsoft Copilot Studio.
- Preferred: Experience architecting agent-based solutions, RAG, search, and grounding, including Azure AI Search.
- Preferred: Experience with MLOps, LLMOps, model and prompt evaluation, and production monitoring.
- Preferred: Experience with Microsoft Purview and approaches to data governance, master data, lineage, and data quality.
- Preferred: Experience with event-driven solutions, streaming, data mesh, or domain-oriented data products.
- Preferred: Experience with responsible AI, identity, networking, security, and regulatory requirements for data and AI solutions.
- Preferred: Infrastructure as Code experience, such as Bicep or Terraform.
- Preferred: Experience with presales, proposal development, or shaping large data and AI transformation programs.
- Preferred: Relevant Microsoft certifications in Azure, data, or AI.
लाभ
- Work with Microsoft’s Global Alliance Partner of the Year, recognized for 14 years.
- Access distinctive experiences, continuous learning, and opportunities for ambitious growth.
- Join an inclusive and diverse culture built around belonging.
- Receive support from a collaborative community that offers mentoring and guidance.
- Work on business-critical solutions built with leading-edge technology.
- Expand your perspective through experimentation, courageous learning, and adaptability.
- Have your voice heard, take bold action, and celebrate progress.
- Focus on what matters to clients and succeed through unified teamwork.
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