AI-Enabled Solution Engineer (PL)

Who we are looking for: At least 5 years of hands-on experience in designing, developing, and deploying business applications using the Microsoft technology stack. Strong understanding of modern application development technologies and frameworks such as .NET 10, C#, Blazor, ASP.NET Core, Entity Framework Core, TypeScript and Microsoft SQL Server. Demonstrated ability to effectively utilize AI-assisted development tools, coding agents and modern engineering platforms to design, develop and deploy end-to-end business applications. Focus on solution design, business value creation and software quality, leveraging both technical expertise and AI-enabled development practices to maximize productivity and accelerate delivery. Strong understanding of modern software engineering and cloud-native architectures, including the design, development and operation of scalable applications, databases and integration interfaces across international environments. Responsible for the end-to-end software delivery lifecycle, including source code management, DevOps automation, CI/CD pipelines, testing environments, release management and production support. Strong ability to understand business processes and operational challenges and translate them into clear functional and technical requirements. Proven capability to collaborate with business stakeholders, operators and subject matter experts, turning business needs into practical, scalable and sustainable digital solutions. Good communication and presentation skills, enabling effective interaction with both technical and non-technical audiences in an international environment. Fluent in spoken and written English. Key Responsibilities: Business Solutions & Reporting Take ownership of the company-wide reporting and analytics landscape for production, laboratory and operational data across multiple manufacturing sites. Ensure the maintenance, support and continuous evolution of reporting, dashboarding and data visualization solutions used by operational and management stakeholders. Drive the digitalization of business processes by transforming operational requirements into scalable, sustainable and high-value software solutions. Advance existing applications and reporting solutions towards a mobile-first user experience across smartphones, tablets and desktop platforms. Software Architecture & Platform Development Design, develop and maintain modern business applications using state-of-the-art software engineering practices and AI-assisted development approaches. Establish and continuously evolve a strategic application framework that serves as the foundation for future Operations-related software solutions. Define and govern scalable application architectures, integration patterns, databases and cloud-native services to ensure long-term sustainability and interoperability. Drive technical innovation by evaluating and adopting emerging technologies that create measurable business value. Data & Artificial Intelligence Establish a future-ready data ecosystem that enables secure, governed and scalable access to operational information across the organization. Enable the use of artificial intelligence by ensuring that business-critical data is accessible, structured and consumable for advanced analytics, intelligent assistants and AI-driven decision support. Lead the identification, evaluation and implementation of AI-powered solutions to improve operational efficiency, transparency and decision-making across manufacturing environments. Engineering Excellence & Operations Own the complete software delivery lifecycle, including source code management, development standards, automated testing, CI/CD pipelines, release management, monitoring and production support. Continuously improve engineering productivity through automation, AI-assisted development practices and modern DevOps methodologies. Ensure high standards for application reliability, security, scalability and maintainability across all solutions. Manage and optimize cloud services and application hosting environments to support current and future business needs. Innovation & Knowledge Leadership Continuously monitor developments in software engineering, cloud platforms and artificial intelligence and identify opportunities to improve development efficiency and solution quality. Promote the effective use of AI-assisted development tools and modern engineering practices within the team. Establish and maintain an internal forum for knowledge sharing and exchange on software engineering, cloud technologies and artificial intelligence. Support colleagues through technical mentoring, knowledge transfer and the sharing of best practices. Qualifications: Software Engineering & Application Development Modern software development using the Microsoft technology stack Object-oriented programming and application architecture Development of web, cloud and business applications API design, system integration and service-oriented architectures Frontend and backend application development Cloud Platforms & DevOps Cloud-native application design and operation Microsoft Azure services and cloud infrastructure DevOps practices, CI/CD pipelines and deployment automation Containerization and modern application hosting concepts Application monitoring, troubleshooting and operational support Data Management & Integration Relational database design and data modelling SQL-based data management and optimization Data integration, interoperability and interface development Enterprise application and manufacturing system integration Artificial Intelligence & Modern Engineering AI-assisted software development and agent-based engineering approaches Modern AI development tools and coding assistants Design and integration of AI-enabled business solutions Understanding of AI agents, orchestration concepts and emerging AI technologies Ability to evaluate and apply new technologies pragmatically to create business value Business Process & Solution Design Requirements engineering and business process analysis Translation of business needs into scalable technical solutions Solution design in collaboration with operational and non-technical stakeholders End-to-end ownership from concept to productive operation Communication & Collaboration Strong communication and stakeholder management skills Ability to work effectively with both technical and non-technical colleagues Experience working in international and cross-functional environments Fluent written and spoken English Preferred Technical Experience .NET / C# ASP.NET Core Blazor and modern web technologies TypeScript Entity Framework Core SQL Server Microsoft Azure Azure DevOps Docker and container platforms REST-based integrations Originally posted on Himalayas