Innovation Hub Senior Solution Engineer - Application Development

Full Job Description

Implementing robust AI transformation solutions and optimizing the integration of various technologies and services will be key aspects of your role. Delivering customer engagements: Prepare and deliver technical engagements including strategy sessions, envisioning workshops, architecture design sessions and rapid prototyping to demonstrate key capabilities, validate against identified risks and finalize technology choices. AI Transformation Leadership: Be the trusted voice within the business and for customers on the latest AI platform and technology trends, guiding their transformation journeys. By prioritizing AI use cases through design thinking workshops, you will lead these journeys effectively. Strategic Vision and Planning: Own and execute a clear strategic vision for AI transformation initiatives on a set of targeted accounts, aligning with organizational goals and customer needs by collaborating and orchestrating cross-functional teams. Solution Design and Architecture: Develop comprehensive solution architectures based on patterns and practices that are tied to customer requirements and ensure that solutions are scalable, secure and optimized for performance. By utilizing consultation skills, you will uncover and prioritize opportunities, ensuing solutions are addressing real customer needs. Cross Platform Collaboration: Adopt a holistic approach to integrate capabilities across the entire cloud platform, identifying synergies and optimizing cross-platform integration. You will work with your peers and stakeholders to make the Innovation Hub the home of Cross Solution AI Transformation. Technical Depth: Maintain and grow expertise in AI solutions that will include services like AI Foundry or Fabric Data platform. Develop skills in AI management and security, real-time intelligence, and application architecture to support AI transformation initiatives. Stay updated with the market trends and collaborate within technical communities. 8+ years of technical pre-sales or technical consulting experience OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 6+ years of experience OR equivalent experience Hands-on engineering: Strong track record personally designing, building, deploying and troubleshooting software, cloud, data and AI solutions. Programming: Proficiency in a relevant language such as Python, TypeScript, Java or Rust, with practical experience in APIs, Git/source control, testing and CI/CD. Architecture & cloud: Experience designing and implementing solutions on Azure or comparable cloud platforms, with practical knowledge of application architecture, identity, networking, security, data integration and operations. Applied AI: Practical experience designing, building and evaluating AI-enabled applications, including data dependencies, grounding, security, model limitations, failure modes and Responsible AI considerations. Technical problem-solving: Ability to investigate unfamiliar environments, test assumptions and make sound engineering decisions under real-world constraints. Technical collaboration & communication: Ability to work directly with customer engineers and architects, lead technical design discussions and clearly explain complex decisions and trade-offs to technical and business audiences. Deep expertise in AI and agent development, application innovation, data platforms, cloud-native application development or enterprise architecture.

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