Software Architect - AI

October 11, 2024

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Abbott

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Abbott is a global healthcare company committed to advancing medical technologies and improving lives around the world. It offers a broad range of leading products in diagnostics, medical devices, nutrition, and branded generic medicines. Abbott's innovations such as the FreeStyle Libre glucose monitoring systems and BinaxNOW rapid antigen tests are transforming diabetes management and COVID-19 response. Through its partnerships and initiatives, Abbott aims to foster health equity, improve access to healthcare, and address critical health challenges like malnutrition and infectious diseases. Abbott is also dedicated to sustainability and social responsibility, striving to make life-changing technologies accessible and affordable.

Nutrition • Diagnostics • Medical Devices • Branded Generic Pharmaceuticals

10,000+ employees

Founded 1888

⚕️ Healthcare Insurance

🧬 Biotechnology

💊 Pharmaceuticals

📋 Description

• Design, develop, and oversee the implementation of end-to-end AI solutions. • Collaborate with stakeholders, including product managers, designers, and backend architects, to understand and fulfill the AI needs of our products and organization. • Evaluate and select appropriate technologies, frameworks, and tools for AI development. • Establish coding standards, best practices, and guidelines for the development teams implementing AI solutions. • Collaborate with the QA team to define and implement effective testing strategies for AI applications. • Monitor and analyze performance metrics, identify issues, and propose improvements. • Stay abreast of the latest advancements in AI technologies, frameworks, and development practices.

🎯 Requirements

• Bachelor's Degree with 10+ years of experience or Master's Degree with 7+ years of related software architecture experience (not all AI related) • Extensive experience in designing AI solutions and knowledge of AI capabilities, frameworks, and tools. • Proficiency in AI app testing techniques, including unit testing, integration testing, and UI testing across various mobile devices and operating system platforms. • Strong debugging skills to identify and fix issues in the codebase. • Strong leadership and communication skills to effectively collaborate with cross-functional teams, including product managers, designers, developers, and QA engineers. • The ability to communicate technical concepts clearly and guide frontend developers is essential. • A passion for staying updated with the latest AI technologies, frameworks, development practices, and design trends. An AI Architect should be proactive in continuously learning and experimenting with new tools and techniques.