Job Posting End Date08-17-2026
Please note the job posting will close on the day before the posting end date.
Job Summary The Enterprise Architect of Artificial Intelligence is a senior individual contributor responsible for defining, governing, and advancing the enterprise AI architecture that enables scalable, secure, and responsible adoption of artificial intelligence across AEP.
This role serves as the enterprise authority on AI architecture, shaping how AI is industrialized to drive business outcomes across grid operations, customer platforms, and corporate functions. Operating at the intersection of enterprise architecture, data, and advanced analytics, this position translates strategic business priorities into AI-enabled architecture, standards, and reference models.
The Enterprise Architect of AI partners closely with engineering, data science, cybersecurity, and business technology leaders to ensure AI solutions are interoperable, compliant, resilient, and aligned with AEP's enterprise technology strategy and regulatory environment.
Job DescriptionWhat you'll do:Essential Job Functions & TasksEnterprise AI Architecture, Patterns & Technical Direction- Define and maintain enterprise AI/ML and GenAI reference architectures, components, patterns, and standards across cloud, on-premises, and edge environments, and actively engage in the Enterprise Architecture Governance process.
- Translate business use cases (e.g., forecasting, optimization, automation, customer engagement) into scalable, secure, production-ready designs that internal teams and vendors can implement.
- Establish architectural blueprints for real-time, batch, and edge-based AI decisioning.
- Ensure alignment between AI solutions, enterprise data platforms, integration patterns, and core systems.
- Build prototypes and reference implementations to validate decisions, reduce risk, and accelerate adoption.
AI Platforms, Tooling & GenAI Enablement- Evolve internal AI platforms and developer environments (e.g., Azure AI Foundry, Azure ML, Azure OpenAI; as applicable, AWS Bedrock).
- Standardize reusable GenAI patterns (e.g., embeddings, vector search, retrieval-augmented generation) that teams can apply safely.
- Create templates, starter kits, and repositories to streamline build-to-deploy and reduce friction.
- Guide workflow and platform integrations for usability, reliability, and governance (e.g., OpenShift workflow engines; model registry/tooling).
- Evaluate emerging AI technologies and platforms for fit within AEP's enterprise architecture and regulated environment.
- Support modernization of legacy systems to enable AI-enabled workflows and decision automation.
Governance, Risk & Responsible AI- Establish architectural guardrails for responsible AI, including model transparency, data privacy, security, and compliance.
- Translate responsible AI standards into guardrails, checklists, and controls teams can apply consistently.
- Automate responsible AI controls where practical (e.g., review gates, policy checks) aligned to higher-risk governance and approvals.
- Embed security and governance fundamentals into patterns (IAM/RBAC, auditability, policy enforcement).
- Ensure AI solutions align with enterprise governance, cybersecurity standards, and regulatory requirements.
- Provide architectural review and guidance for AI initiatives to mitigate technical risk and ensure long-term sustainability.
Cross-Functional Collaboration & Vendor Leadership- Act as a trusted architecture advisor to business technology, data science, engineering, cybersecurity, and compliance partners.
- Collaborate with domain architects and solution teams to ensure consistent application of AI architectural standards.
- Provide hands-on guidance through standards, reviews, and targeted deep dives.
- Set technical direction, unblock teams, and align stakeholders through influence without authority.
- Communicate complex AI architecture concepts clearly to both technical and non-technical stakeholders.
Strategy Alignment & Thought Leadership- Contribute to enterprise technology strategy by identifying how AI capabilities can accelerate business outcomes.
- Document and socialize AI architectural roadmaps, target states, and transition strategies.
- Stay current on AI architecture trends and share insights to continuously evolve AEP's AI posture.
Required Qualifications & Skills- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field
- 12+ years of relevant experience in enterprise architecture, solution architecture, or advanced AI/ML technology design, including hands-on experience designing, implementing, or governing AI/ML-enabled systems in complex enterprise environments. An equivalent combination of education and related experience may be considered.
- Vendor technical leadership: review delivered work, spot risks early, and drive quality outcomes.
- Proven ability to influence and drive alignment without direct authority, balancing standards with delivery realities.
- Proven ability to communicate architectural vision and recommendations to senior leadership.
Preferred Qualifications- Master's degree in a technical or analytical discipline.
- Familiarity with regulated or mission-critical environments such as utilities, energy, finance, or infrastructure
What We're Looking For:Education requirements are listed below:
- Bachelor's degree in computer science, engineering, or related technical field is required.
Work Experience requirement listed below:
- 10 years of relevant work experience is required. An equivalent combination of education and related experience may be considered.
Compensation DataCompensation Grade:SP20-010
Compensation Range:$136,539.00 - $177,503.00
The Physical Demand Level for this job is: S - Sedentary Work: Exerting up to 10 pounds of force occasionally (Occasionally: activity or condition exists up to 1/3 of the time) and/or a negligible amount of force frequently. (Frequently: activity or condition exists from 1/3 to 2/3 of the time) to lift, carry, push, pull or otherwise move objects, including the human body. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time. Jobs are sedentary if walking and standing are required only occasionally, and all other sedentary criteria are met.
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