Enterprise Architect
AdobeFull Time
Expert & Leadership (9+ years)
Candidates must possess at least 8 years of experience in Enterprise Architecture and design, specifically within the retail industry. A strong understanding of TOGAF or similar frameworks and experience applying them to real-world projects is required. Proficiency in solution modeling languages such as UML, ArchiMate, and C4 is necessary. The role demands expertise in backend and frontend development languages (e.g., TypeScript, JavaScript, HTML, CSS), technology architecture including integration, network, and security, and cloud platforms like AWS or Azure. A solid grasp of security practices, data protection, regulatory compliance, application development methodologies, infrastructure, network architecture, programming, software development, DevOps, CI/CD, containerization, integration solutions, API management, and enterprise-wide disaster recovery and business continuity planning is essential. The ability to comprehend modern technologies and translate business needs into technical requirements is also crucial.
The Principal Solutions Architect will lead the design and implementation of advanced solutions to drive client technology evolution, collaborating with departments to understand needs and develop systems for improved efficiency and customer experience. Alternatively, the role may focus on leading the development and evolution of core technology platforms, ensuring scalability, resilience, and support for business initiatives. This involves crafting scalable and secure architectures for complex business needs, ensuring high performance and reliability. The architect will guide the architectural vision, engage with stakeholders, and provide technical leadership in transforming business objectives into technical solutions.
Develops AI tools for sustainable agriculture
Mineral.ai develops technology solutions aimed at improving the agriculture industry. The company utilizes perception technology, artificial intelligence (AI), and machine learning (ML) to create tools that help farmers, researchers, and agricultural advisors increase crop yields, manage pests, and adapt to climate change. Their products include precision agriculture tools that optimize resource use and advanced data analytics platforms that provide insights from agricultural data. Unlike many competitors, Mineral.ai focuses on creating partnerships within the agriculture sector to co-develop solutions, enhancing their product offerings. The goal of Mineral.ai is to support sustainable food production and help feed the world more efficiently.