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Systems & AI Cloud Architect

Endeavour. Inspired Infrastructure.

Systems & AI Cloud Architect

Remote - US

Endeavour has an exciting opportunity for someone passionate about sustainability and eager to be part of an innovative company that's on a journey to transform the world's infrastructure. We are seeking a Systems & AI Cloud Architect working directly with Endeavour's IT team and focusing on troubleshooting technical issues, providing solutions, enhancing existing technology stack and implementing new infrastructure into our ecosystem. This role is part of the support team that services the entire our Endeavour ecosystem and contributes to the overall health and success of the organization.

The Systems & AI Cloud Architect needs to be agile, professional, and comfortable in a rapidly changing environment. The right person is trustworthy with confidential information, highly organized, self-motivated, has excellent communication skills, can think strategically, and works equally as well independently as with a team.

Endeavour is highly selective about the people we bring on board because our ecosystem depends on it. Change happens quickly here, and we must maintain a strong team of honest, communicative, collaborative, open-minded, strategic, reliable, and driven team members. We seek ultra-creatives and superstar performers with self-awareness, a sense of humility, and a hunger to make a positive impact in the world. Endeavour offers flexibility and endless growth opportunities to those who can harness their skills and talents and identify how and where to use them to add value. Our support team is the heart of the ecosystem. We're a diverse group of bright, passionate, dedicated people, working together to make a real difference. Are you ready to join the journey?

Key Responsibilities
  • 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.
Skills & Requirements

Education / Experience

  • 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).

Specific Skills / Abilities

  • Critical Thinker
  • Work in a fast-paced environment
  • Solve complex problems
  • Strategies and scale ideas and solutions
  • Trustworthy and reliable
  • Self-Starter and ability to work independently
  • Ability to work with technical and non-technical staff
  • Strong written and verbal communication skills
Great Place to Work

Enjoy… 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.

About Endeavour

Endeavour is the main hub—a self-sustaining incubation platform for innovation—within a larger ecosystem focused on sustainable infrastructure. It provides the space, time, and resources necessary to take advanced technologies from ideation through development to launch. Our teams are working hard to decentralize infrastructure and deploy innovative energy, water, and waste treatment solutions that are more sustainable and more profitable than those currently in existence. Our aim is to guarantee clean water and renewable energy to everyone, everywhere. We're passionate change-makers who want to leave the world better than the way we found it. There is a strong sense of camaraderie between good-natured people who bring their A-game to work, every day, to make a difference. To work at Endeavour is to know that you are part of something special—something bigger than yourself.

Today, we're deploying solutions that are immediately scalable and profitable, including EV charging, data center cooling, and waste to fuel systems. As we look to the future, Endeavour intends to remain at the forefront of innovation, taking on grander challenges based on the needs of our clients and of local economies. We hope that our Sustainable Habitat for Innovation towards a Purpose (SHIP) will be a model that inspires people and businesses to join the journey so that together we can combine the best of what technology and the natural world can offer to ensure a regenerative/sustainable world for generations to come. Are you ready to #JoinTheJourney?

Position: Systems & AI Cloud Architect

Full-Time or Part-Time: Full-Time

Reports to: Director of Global IT DevOps & AI Infrastructure

Location: United States (Remote)

Contact: View email address on click.appcast.io

Vacancy posted 3 days ago
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