Systems & AI Cloud Architect

Role Overview

• 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).

Tech Stack

• AWS
• Azure
• Cloud
• Cyber Security
• Microservices

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.