Senior Enterprise Architect Remote Practice: AI Engineering & Architecture Engagement Model: Forward-Deployed, embedded within client technology organization Target Clients: Investor-owned utilities and regulated energy companies (e.g., AEP, NextEra Energy, Duke Energy, and similar) Role Summary Miracle Minds is seeking a Senior Enterprise Architect to embed within a large investor-owned utility as a forward-deployed member of the client's technology leadership team. This role owns enterprise-wide architecture strategy across grid modernization, IT/OT convergence, and AI-enabled operations, and represents Miracle Minds' senior bench directly inside the client organization. The ideal candidate has carried this responsibility as an operator inside a utility or comparable critical-infrastructure enterprise, not only as an outside advisor.

Key Responsibilities

Define and own the enterprise architecture roadmap across grid operations, customer systems, and enterprise IT, aligned with the utility's regulatory and reliability obligations (NERC CIP, FERC). Serve as the architectural bridge between OT environments (SCADA, ADMS, DERMS) and IT environments (ERP, CIS, data platforms). Lead architecture governance boards, technology standards, and reference architectures across business units. Partner directly with the client's CIO/CTO and program leadership to translate business strategy (grid capacity buildout, DER integration, AI adoption) into technical architecture decisions. Evaluate and select platforms across cloud (Azure, AWS), data, and cybersecurity/governance domains. Establish architecture review boards and decision-record practices; mentor client and Miracle Minds engineering teams. Ensure every architecture decision accounts for security, regulatory compliance, and long-term maintainability. Required Qualifications 12+ years in enterprise architecture roles, including at least 5 years inside a utility, energy, or other critical-infrastructure environment. Direct working experience with NERC CIP and regulated OT/IT environments. Deep knowledge of enterprise integration patterns, cloud architecture (Azure or AWS), and data architecture. Demonstrated experience advising and presenting to C-level technology executives.

Preferred Qualifications

Direct experience at a major utility (AEP, NextEra Energy, Duke Energy, Southern Company, Exelon, or comparable). TOGAF or equivalent enterprise architecture certification. Experience with AI/ML platform architecture and AI governance frameworks. Prior delivery experience in a consulting or advisory environment. What Success Looks Like 30/60/90 Days: Stakeholder map complete, initial architecture assessment delivered, and a trusted working relationship established with the client sponsor. 6 Months: Enterprise architecture roadmap approved by the client's governance board, with at least one major platform decision guided to resolution. 12 Months: Measurable reduction in architecture debt and duplication, with the architecture practice embedded as a durable capability the client retains value from beyond the engagement.