Enterprise Architect, Digital & AI
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Before you apply
LocationMaumee, OH
Typefull-time
SeniorityLead
Experience7–10 yrs
Company size1,001–5,000 people
PostedOct 16, 2026 · 2w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Bachelor’s Degree required in Computer Science, Information Technology, or a related field
7-10 years’ relevant experience as an Enterprise or Domain Architect required
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 working with a range of AI models across hosted and locally run environments, with a working understanding of the capability, cost, performance, security, and data-handling trade-offs between them
Working knowledge of model lifecycle management, model evaluation and benchmarking, and monitoring of 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
Proficient in Microsoft Office Suite or similar software
Master’s Degree preferred
Skills
Microsoft Office Suite
Enterprise Architecture
AI
machine learning
retrieval-augmented generation
embeddings
vector search
agent patterns
orchestration patterns
API-based model integration
model evaluation
model benchmarking
monitoring AI workloads
About the company
As a North American leader in agribusiness and renewable fuels, The Andersons operates in a unique space, bringing together agriculture, energy, and global markets. From the farm to customers around the world, we help move food, feed, and fuel where it’s needed most.
Our business spans the full value chain, which means the work we do directly supports farmers, customers, and communities every day. Whether it’s helping producers succeed, delivering essential products, or advancing more sustainable energy solutions, our impact is both local and global.
What truly sets us apart is how we work together. We are a performance-driven, people-powered organization where employees are owners, sharing in our success and helping shape our future. We invest in our team through development opportunities, meaningful career paths, and a culture that encourages growth, collaboration, and continuous improvement.
At the core of everything we do is our Statement of Principles. We are committed to providing extraordinary service to our customers, helping our employees improve, supporting our communities, and increasing the value of the company for our shareholders.
Position Summary
This position is responsible for defining and maintaining the organization’s overall architecture framework, ensuring that technology strategy aligns with business objectives. This role provides strategic guidance for technology investments, promotes architectural coherence across systems and processes, and drives innovation through enterprise-level design principles. The Enterprise Architect must have a holistic view of the organization’s technology landscape and the ability to influence stakeholders at all levels.
Key Responsibilities
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Develop and maintain the enterprise architecture strategy, standards, and roadmap for digital platforms, custom applications, portals, integration touchpoints, automation capabilities, AI-enabled business solutions, and the internal AI development capabilities needed to support them.
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Provide architecture leadership across the full solution lifecycle, ensuring digital and AI solutions are scalable, secure, resilient, maintainable, cost-effective, and aligned with business priorities, enterprise technology direction, and a supported path from experimentation to production.
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Translate business needs into practical architecture direction by defining target-state designs, transition architectures, platform recommendations, implementation guidance, and developer enablement approaches for product, engineering, and delivery teams.
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Establish and promote reusable architecture patterns, reference designs, shared repositories, templates, starter kits, decision frameworks, and design review practices that improve consistency, quality, governance, and speed of delivery across digital and AI initiatives.
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Guide AI platform and application architecture, including retrieval-augmented generation, embeddings and vector search, agent and orchestration patterns, API-based model integration, hosted and locally run model options, observability, security, privacy, compliance, prompt and context handling, and human-review guardrails.
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Assess current digital and AI capabilities, emerging technologies, models, vendor solutions, platform fit, technical debt, modernization opportunities, and trade-offs across capability, cost, latency, data sensitivity, hosting constraints, and operational support to inform roadmaps, investment decisions, standards, and lifecycle management.
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Build prototypes, reference implementations, and proof-of-concepts to validate architectural choices, reduce delivery risk, demonstrate value, and accelerate adoption of effective digital and AI patterns by application teams.
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Partner closely with business stakeholders, enterprise architecture, engineering, security, data, infrastructure, and leadership teams to align solution direction, resolve architecture tradeoffs, mentor developers, and support enterprise adoption.
What is Expected of You and Others at This Level
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Demonstrates expertise in own area within the organization
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Required specialized depth and/or breadth of experience
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Interprets internal or external business issues and recommends solutions/best practices
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Solves complex problems; takes a broad perspective to identify solutions
Competencies Expected of You and Others at This Level
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Balances Stakeholders - Anticipating and balancing the needs of multiple stakeholders
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Business Insight - Applies knowledge of the business and the marketplace to advance the organization’s goals
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Drives Results - Consistently achieves results, even under challenging circumstances
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Manages Ambiguity - Operates effectively in uncertain or unclear situations
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Organizational Savvy - Maneuvers comfortably through complex policy, process, and people related organizational dynamics
Education and Experience
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Bachelor’s Degree required in Computer Science, Information Technology, or a related field. Master’s Degree preferred
•
7-10 years’ relevant experience as an Enterprise or Domain Architect required
•
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 working with a range of AI models across hosted and locally run environments, with a working understanding of the capability, cost, performance, security, and data-handling trade-offs between them.
•
Working knowledge of model lifecycle management, model evaluation and benchmarking, and monitoring of 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
•
Proficient in Microsoft Office Suite or similar software
Physical Requirements and Working Environment
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Prolonged periods of sitting at a desk and working at a computer