Systems & AI Cloud Architect

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

Include but are not limited to: 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

Education / Experience Bachelor’s degree in