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With more than 45,000 employees and partners worldwide, the Customer Experience and Success (CE&S) organization is on a mission to empower customers to accelerate business value through differentiated customer experiences that leverage Microsoft’s products and services, ignited by our people and culture. We drive cross-company alignment and execution, ensuring that we consistently exceed customers’ expectations in every interaction, whether in-product, digital, or human-centered. CE&S is responsible for all up services across the company, including consulting, customer success, and support across Microsoft’s portfolio of solutions and products. Join CE&S and help us accelerate AI transformation for our customers and the world. As a Solution Architect specializing in AI, you will play a crucial role in enabling customers to achieve their goals through strategic investments in Microsoft technology. Leveraging your experience in Azure or Data & AI solutions, you will lead technical discussions with customers, guiding them to extract maximum value from their Microsoft investments and identifying solutions to overcome challenges hindering the success of their data and AI projects. This opportunity provides a platform for accelerating your career growth, refining technical and collaborative skills, and deepening your proficiency in cloud technologies. You’ll be joining a team of deeply passionate individuals who take pride in their craft and strive for excellence every day. Our team consists of some of the best and brightest minds in the field, creating an environment where you’ll be surrounded by top-tier expertise and an endless opportunity to learn and grow. We foster a quirky, fun, and socially engaging atmosphere, where individuality is celebrated, and collaboration comes naturally. Our culture is rooted in honesty and care—both for our colleagues and the customers we serve. If you’re looking for a team that values authenticity, supports one another, and works together to tackle meaningful challenges, you will fit right in.
Job Responsibility:
Engage with customer IT and business leaders to understand their data estate, priorities, and success measures, and design secure, scalable Data & AI solutions that deliver measurable business value
Lead architecture design sessions, develop Data & Analytics roadmaps, and drive Proof of Concepts (POCs) and Minimum Viable Products (MVPs) to accelerate adoption and ensure long-term technical viability
Own the end-to-end technical delivery results, ensuring completeness and accuracy of consumption and customer success plans in collaboration with the CSAM
Deliver repeatable intellectual property (IP) to achieve targeted outcomes, accelerate Azure Consumed Revenue (ACR), and contribute to centralized IP development initiatives
Provide delivery oversight and escalation support for key Factory engagements across Data & Analytics workloads
Drive technical excellence by leading the health, resiliency, security, and optimization of mission-critical data workloads, ensuring readiness for production-scale AI use cases
Identify and resolve technical blockers, share customer feedback with engineering teams, and influence product improvements through Voice of the Customer insights
Maintain deep technical expertise and stay current with market trends, competitive insights, and Microsoft’s evolving data and AI capabilities
Be accredited and certified to deliver with advanced and expert-level proficiency in priority workloads including Microsoft Fabric, Azure Databricks, Microsoft Purview, Azure SQL, PostgreSQL, MySQL, and Cosmos DB
Demonstrate a growth mindset by continuously aligning your skills to team and customer needs, contributing to technical communities, and mentoring others to accelerate customer outcomes
Requirements:
Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND previous experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience
Hands-on experience with data platforms and analytics workloads, including data ingestion, transformation, and modelling
Experience and ability to link technical work to customer business needs, contributing to solution design discussions and helping customers realise value from Data & AI investments