Full Stack .NET Architect, GenAI Experience

🕒 February 23

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Avanade

10,000+ employees

Founded 2000

☁️ SaaS

🤝 B2B

🏢 Enterprise

SaaS • B2B • Enterprise

Avanade is a provider of cloud-based link management and digital connection tools, offering URL shortening, QR code generation (including dynamic and GS1 Digital Link support), mobile-friendly landing pages, link analytics, and APIs and integrations to manage and track customer interactions at scale. The platform targets businesses of all sizes with features like branded links, UTM campaign tracking, digital business cards, and enterprise-grade security and compliance, enabling marketing, developer, and customer service teams to create, customize, and analyze connections across channels.

📋 Description

• Architect, design, and oversee development of scalable, secure, and robust full stack solutions integrating Gen AI capabilities • Guide cross-functional engineering teams in building end-to-end web and mobile applications leveraging modern frameworks and cloud services • Lead the integration of state-of-the-art Gen AI models (e.g., LLMs, transformers, generative image and text models) into core business products • Collaborate with product managers, data scientists, and UX/UI designers to deliver seamless, user-centric AI experiences • Establish and enforce software architecture best practices, coding standards, and agile development methodologies • Evaluate emerging AI technologies and tools, providing strategic recommendations for adoption and implementation • Mentor engineers, championing technical excellence and continuous learning within the team • Ensure solutions are compliant with security, privacy, and regulatory requirements relevant to Gen AI applications.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field • 10+ years of experience in full stack development .Net, cloud computing (Azure), and modern DevOps practices • Experience with Microsoft Azure OpenAI Service • Demonstrated hands-on expertise in deploying and scaling Gen AI models (OpenAI, Hugging Face, custom LLMs, etc.) • Strong understanding of microservices, API design, containerization (Docker, Kubernetes), and CI/CD pipelines • Experience architecting solutions with RESTful and GraphQL APIs, NoSQL/SQL databases, and real-time data processing • Track record of leading engineering teams and delivering complex projects from conception to production • Excellent problem-solving, communication, and leadership skills • Passion for innovation and staying ahead of Gen AI trends.

🏖️ Benefits

• medical • dental • vision • life • long-term disability coverage • 401(k) plan • bonus opportunities • paid holidays • paid time off

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