Systems & AI Cloud Architect

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Endeavour. Inspired Infrastructure.

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51 - 200 Mitarbeiter

🤖 Künstliche Intelligenz

⚡ Energie

🏢 Unternehmen

Artificial Intelligence • Energy • Enterprise

Endeavour. Inspirierte Infrastruktur. ist ein Innovationsunternehmen im Infrastrukturbereich, das im gesamten KI-Ökosystem Partnerschaften eingeht, um Technologien mit messbarem, realen Einfluss zu skalieren. Es entwickelt integrierte Systeme, die rund um die Uhr CO2-neutrale Energie liefern, eine digitale Kreislaufwirtschaft ermöglichen, indem Kohlenstoff recycelt und saubere Energie erzeugt wird, und fortschrittliche Lösungen für sauberes Wasser und Aquiferenrestaurierung bereitstellen. Endeavour baut einen Technologiestack auf, der Daten, Energie, Materialien und Wasser verbindet, um KI-Workloads zu unterstützen, während gleichzeitig der Klimawandel und Wasserknappheit angegangen werden, und agiert als Zweckstiftung, die Gewinne reinvestiert, um kontinuierliche Innovation und Gemeinschaftsregeneration zu finanzieren.

Beschreibung

• Define and maintain the enterprise architecture strategy, standards, and roadmaps for business intelligence, software engineering, DevOps, cloud platforms, and AI capabilities aligned to business goals. • Lead the design of scalable, secure, and resilient application architectures across on-premises, hybrid, and cloud environments. • Establish engineering best practices for modern software delivery, including microservices, APIs, event-driven architecture, and platform engineering. • Create governance frameworks and architectural guardrails to ensure compliance, cybersecurity, scalability, cost optimization, and technical consistency. • Architect enterprise AI & business intelligence solutions including machine learning, generative AI, copilots, intelligent automation, and data-driven decision support systems. • Define AI integration patterns for business applications, APIs, data platforms, and workflow automation tools. • Ensure responsible AI practices including model governance, privacy, security, explainability, and risk management as pertains to enterprise architecture strategy. • Collaborate with data engineering and analytics teams to establish architectures supporting data pipelines, model training, inference, and MLOps processes. • Lead modernization efforts for legacy applications through re-platforming, refactoring, containerization, and cloud migration strategies. • Provide technical leadership, mentoring, and architectural guidance to business stakeholders, engineers, architects, and delivery teams. • Develop reference architectures, technical standards, and reusable patterns that accelerate delivery across the enterprise. • Facilitate architecture reviews, solution assessments, and technology selection processes for major initiatives. • Monitor industry trends and benchmark enterprise capabilities in software engineering, DevOps maturity, cloud adoption, and AI innovation. • Influence executive stakeholders by translating complex technical concepts into business value, investment priorities, and transformation roadmaps. • Support vendor evaluations, contract reviews, and strategic partnerships for enterprise technology platforms and AI solutions. • Other duties as assigned.

🎯 Anforderungen

• Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or related field required; Master’s degree preferred. • 10+ years of progressive IT experience with at least 5+ years in enterprise architecture, solution architecture, or senior engineering leadership roles. • Proven experience designing and implementing large-scale enterprise software systems, cloud platforms, and modern application architectures. • Strong hands-on experience with DevOps practices including CI/CD, infrastructure as code, automated testing, containerization, and release automation. • Demonstrated experience with major cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud. • Experience leading enterprise modernization initiatives involving legacy transformation, cloud migration, API strategy, and platform engineering. • Proven knowledge of AI/ML technologies including generative AI, machine learning lifecycle management, MLOps, and AI governance frameworks. • Experience integrating AI capabilities into enterprise applications, workflows, and business processes. • Strong understanding of cybersecurity principles, identity management, data privacy, and regulatory compliance requirements. • Experience with enterprise architecture frameworks such as TOGAF, Zachman, or similar methodologies preferred. • Background leading cross-functional teams and influencing senior executives, business leaders, and technical stakeholders. • Experience managing vendor relationships, technology evaluations, and strategic platform selection processes. • Relevant certifications preferred (e.g., cloud architect certifications, DevOps certifications, AI/ML certifications, TOGAF).

🏖️ Vorteile

• A fast-paced, entrepreneurial culture focused on innovation. • A flexible, autonomous work environment. • A culture of respect, learning, and excellence. • Experienced, highly talented experts as team peers. • Growth and travel opportunities. • A team of change-makers having a significant impact on people and the planet.