Systems & AI Cloud Architect

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and sustain the enterprise architecture strategy, standards, and roadmaps for business intelligence, software engineering, DevOps, cloud platforms, and AI capabilities in alignment with business objectives.

• Oversee the design of scalable, secure, and resilient application architectures across on-premises, hybrid, and cloud settings.

• Establish engineering best practices for contemporary software delivery, including microservices, APIs, event-driven architecture, and platform engineering.

• Create governance frameworks and architectural guidelines to ensure compliance, cybersecurity, scalability, cost efficiency, and technical uniformity.

• Design enterprise AI and business intelligence solutions encompassing 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.

• Promote responsible AI practices including model governance, privacy, security, explainability, and risk management as related to enterprise architecture strategy.

• Collaborate with data engineering and analytics teams to establish architectures that support data pipelines, model training, inference, and MLOps processes.

• Lead modernization initiatives for legacy applications through re-platforming, refactoring, containerization, and cloud migration strategies.

• Provide technical leadership, mentoring, and architectural direction to business stakeholders, engineers, architects, and delivery teams.

• Develop reference architectures, technical standards, and reusable patterns that expedite delivery across the organization.

• Facilitate architecture reviews, solution assessments, and technology selection processes for significant initiatives.

• Monitor industry trends and assess enterprise capabilities in software engineering, DevOps maturity, cloud adoption, and AI innovation.

• Influence executive stakeholders by translating intricate technical concepts into business value, investment priorities, and transformation roadmaps.

• Assist in vendor evaluations, contract reviews, and strategic partnerships for enterprise technology platforms and AI solutions.

• Other responsibilities as assigned.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or a related field is required; Master’s degree is preferred.

• 10+ years of progressive IT experience with at least 5+ years in enterprise architecture, solution architecture, or senior engineering leadership roles.

• Proven experience in designing and implementing large-scale enterprise software systems, cloud platforms, and modern application architectures.

• Strong practical 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 is preferred.

• Background in 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 are preferred (e.g., cloud architect certifications, DevOps certifications, AI/ML certifications, TOGAF).

🏝️ Benefits

• A fast-paced, entrepreneurial culture centered on innovation.

• A flexible, autonomous work environment.

• A culture of respect, learning, and excellence.

• Access to experienced, highly talented professionals as team peers.

• Opportunities for growth and travel.

• A team of change-makers making a significant impact on people and the planet.