Enterprise Architect, Digital & AI

Andersons • Maumee, OH

7d

About The Position

The Enterprise Architect, Digital & AI is responsible for defining and maintaining the organization’s overall architecture framework and ensuring technology strategy aligns with business objectives. The role provides strategic guidance for technology investments, promotes architectural coherence across systems and processes, and drives innovation through enterprise-level design principles. It requires a holistic view of the organization’s technology landscape and the ability to influence stakeholders at all levels.

The position develops architecture strategy, standards, and roadmaps for digital platforms, custom applications, portals, integrations, automation, AI-enabled business solutions, and internal AI development capabilities. It guides digital and AI solutions throughout their lifecycle, helping ensure they are scalable, secure, resilient, maintainable, cost-effective, and aligned with business priorities and enterprise technology direction. The architect translates business needs into target-state designs, transition architectures, platform recommendations, implementation guidance, and developer enablement.

The role also establishes reusable architecture patterns, reference designs, repositories, templates, starter kits, decision frameworks, and design review practices. It guides AI platform and application architecture, assesses technologies and vendors, evaluates technical debt and modernization opportunities, and considers trade-offs involving capability, cost, latency, data sensitivity, hosting constraints, and operational support. The architect builds prototypes and proof-of-concepts and partners with business, architecture, engineering, security, data, infrastructure, and leadership teams to align solution direction, resolve trade-offs, mentor developers, and support enterprise adoption.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 7–10 years of relevant experience as an Enterprise or Domain Architect.
• Experience defining architecture direction for digital platforms, customer-facing applications, portals, or internal digital products.
• Hands-on experience designing, implementing, or governing AI- or machine-learning-enabled systems in a complex enterprise environment.
• Practical experience with AI models across hosted and locally run environments, including understanding capability, cost, performance, security, and data-handling trade-offs.
• Working knowledge of model lifecycle management, model evaluation and benchmarking, and monitoring AI workloads in production.
• Experience establishing standards, patterns, or guardrails for AI usage in application development.
• Excellent organizational skills and attention to detail.
• Excellent written and verbal communication skills.
• Proficiency in Microsoft Office Suite or similar software.

Nice To Haves

• Master’s degree.

Responsibilities

• Develop and maintain enterprise architecture strategy, standards, and roadmaps for digital platforms, applications, portals, integrations, automation, AI-enabled solutions, and internal AI development capabilities.
• Provide architecture leadership across the solution lifecycle, ensuring digital and AI solutions are scalable, secure, resilient, maintainable, cost-effective, and aligned with business priorities and enterprise technology direction.
• Translate business needs into target-state designs, transition architectures, platform recommendations, implementation guidance, and developer enablement approaches.
• Establish reusable architecture patterns, reference designs, shared repositories, templates, starter kits, decision frameworks, and design review practices.
• Guide AI platform and application architecture, including RAG, embeddings and vector search, agent and orchestration patterns, API-based model integration, hosted and locally run models, observability, security, privacy, compliance, prompt and context handling, and human-review guardrails.
• Assess digital and AI capabilities, emerging technologies, models, vendors, platform fit, technical debt, modernization opportunities, and trade-offs to inform roadmaps, investment decisions, standards, and lifecycle management.
• Build prototypes, reference implementations, and proofs-of-concept to validate architecture choices, reduce delivery risk, demonstrate value, and accelerate adoption.
• Partner with business stakeholders and enterprise architecture, engineering, security, data, infrastructure, and leadership teams to align solution direction, resolve architecture trade-offs, mentor developers, and support enterprise adoption.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior