AI赋能解决方案工程师 (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