Systems & AI Cloud Architect

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.