Systems & AI Cloud Architect

🕒 May 4

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Endeavour. Inspired Infrastructure.

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

⚡ Energy

🏢 Enterprise

Artificial Intelligence • Energy • Enterprise

Endeavour. Inspired Infrastructure.. is an infrastructure innovation company that partners across the AI ecosystem to scale technologies with measurable, real-world impact. It develops integrated systems that deliver 24/7 carbon‑neutral energy, enable a circular digital economy by recycling carbon and generating clean energy, and deploy advanced solutions for clean water and aquifer restoration. Endeavour builds a technology stack linking data, energy, materials and water to power AI workloads while addressing climate change and water scarcity, and operates as a purpose trust that reinvests profits to fund continued innovation and community regeneration.

📋 Description

• 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.

🎯 Requirements

• 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).

🏖️ Benefits

• 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.