Top 18 ai architect Jobs in cleveland oh

AI-Ready Knowledge Architect
KeyBank National Association —Cleveland, OH
- $96,000 - $181,000 a year
- Full-time
- Remote
- Azure
- Organizational skills
- In-person
Applied AI Health Data Architect-Senior Manager
PRICE WATERHOUSE COOPERS —Cleveland, OH
- $124,000 - $280,000 a year
- HIPAA
- 8 years
- SQL
- Paid holidays
- Health insurance
AI Data Architect
Tata Consultancy Services —Cleveland, OH
- $110,000 - $140,000 a year
- Computer Science
- Up to 50% travel
- 3 years
- Commuter assistance
- Health insurance
Business Process Architect
Eaton —Beachwood, OH
- $182,000 - $266,000 a year
- Background check
- Oracle
- Bachelor's degree
- Retirement plan
Physical and Spatial AI Architect
Deloitte —Cleveland, OH
- $151,800 - $253,000 a year
- Full-time
- 6 years
- Management
- Computer Science
11d
Technical Commerce & AI Manager | Agentic Commerce
Accenture —Cleveland, OH
- $87,400 - $266,300 a year
- Full-time
- Azure
- Management
- 8 years
- Paid holidays
- Disability insurance
AI Solutions Architect
Deloitte —Cleveland, OH
- $163,400 - $322,100 a year
- Full-time
- Computer science
- Azure
- Management
6d
HPC AI Solution Architect (S2S)
Deloitte —Cleveland, OH
- $141,200 - $278,300 a year
- Full-time
- Azure
- Up to 50% travel
- AWS
11d
AI Native Software Engineering Manager
Accenture —Cleveland, OH
- $87,400 - $305,000 a year
- Full-time
- Hybrid work
- Mid-level
- 3 years
- Java
- Paid holidays
- Disability insurance
Software Engineer III- AI & Engineering/Software as a Service
Deloitte —Cleveland, OH
- $122,000 - $240,500 a year
- Full-time
- Computer science
- Azure
- Computer Science
3d
Staff Software Engineer (AI Applications)
Penske Truck Leasing and Logistics —Beachwood, OH
- Monday to Friday
- Computer Science
- Pass drug screening
- System design
6d
Amazon Connect Technical Architect, Associate Vice President
Deloitte —Cleveland, OH
- $171,500 - $307,500 a year
- Full-time
- Computer science
- Oracle
- Computer Science
6d
Solution Architect: ServiceNow HR Service Delivery - Product Engineering
Deloitte —Cleveland, OH
- $113,100 - $232,300 a year
- Full-time
- Azure
- Computer Science
- SQL
Principal Microsoft Cloud & AI Security Architect
WTW —Cleveland, OH
- Full-time
- AWS
- Mentoring
- APIs
- Paid jury duty
- Health savings account
5d
Supply Chain and Engineering– Software Defined Vehicle (SDV) Go-To-Market, Senior Manager / Associate Director
Accenture —Cleveland, OH
- $122,700 - $271,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- 8 years
- Paid holidays
- Disability insurance
Senior Information Security Architect (AWS)
CGI Group, Inc. —United States
- $121,900 - $154,300 a year
- Hybrid work
- Computer Science
- DevOps
- System design
- Paid parental leave
- Paid holidays
2d

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AI-Ready Knowledge Architect

KeyBank National Association -
Cleveland, OH

Apply Now

Job Details

Full-time
$96,000 - $181,000 a year

Qualifications

AI models
Ontology
Data quality checks
Data modeling projects
Data quality assurance
Business analysis
Data quality monitoring
Semantic Web
Scalability
Master data management
Information architecture
Metadata management
Metadata creation

Full Job Description

Location:

For Those Who Work At Home, Ohio

JOB DESCRIPTION:

The AI-Ready Knowledge Architect plays a critical role in designing and maintaining the enterprise information architecture essential for cataloging KeyBank’s data for self‑service understanding and enabling AI‑ready data and knowledge usage. This role defines and enforces standards for data modeling, taxonomy, semantic structures, and knowledge representation to ensure consistency, interoperability, and clarity across the organization.

The AI-Ready Knowledge Architect partners closely with business and technology teams to develop and maintain the enterprise data domain model and ontologies that support governance frameworks, trusted analytics, and downstream consumption across business intelligence (BI), applied AI/ML, and Large Language Model (LLM) use cases. Success in this role requires the ability to translate complex theoretical concepts into scalable, governed information structures that drive adoption of the data catalog, support emerging AI capabilities, and deliver measurable value to colleagues.

ESSENTIAL JOB FUNCTIONS:

Lead the development and maintenance of the enterprise data domain model, taxonomy, and ontologies to ensure shared understanding, semantic consistency, and discoverability of data and knowledge assets.
Design and evolve information and semantic models that make enterprise data AI‑ready, supporting use cases ranging from traditional analytics and BI to applied machine learning and LLM‑based experiences (e.g., search, retrieval‑augmented generation, and copilots).
Operationalize data models, taxonomies, and semantic structures through the Enterprise Data Catalog (Alation).
Define and enforce standards for data modeling, taxonomy, nomenclature, and semantic structures to ensure consistency and interoperability across business domains and downstream consumption patterns.
Provide authoritative guidance on semantic conflicts—resolve definition discrepancies, harmonize terms, and mediate cross‑domain dependencies to establish trusted, reusable business meaning.
Contribute to the enterprise data product framework by defining domain boundaries, shared dimensions, and semantic contracts that enable cross‑domain interoperability and AI consumption.
Confirm and document prioritized metadata elements for key business processes, analytical use cases, and AI‑enabled workflows, ensuring alignment with governance standards and risk expectations.
Identify simplification opportunities—reduce redundancy, converge overlapping datasets, and promote canonical sources to improve trust, efficiency, and reusability across analytics and AI platforms.
Partner with analytics, data science, and AI engineering teams to ensure information architecture, metadata, and semantic context are sufficient to support explainable, governed, and trustworthy AI outcomes.
Serve as a thought partner, provide insights from modeling, catalog adoption, and AI enablement to shape governance strategy and roadmaps.

REQUIRED EXPERIENCE:

10+ years of experience working with data, metadata, and reference data frameworks, including experience in metadata management and/or data quality monitoring
Experience leading the development of enterprise business glossaries, domain models, and ontologies to enable semantic consistency, shared understanding, and AI ready data usage.
Demonstrated experience with data management concepts including data governance, data quality, master data management, data lineage, and metadata management.
Proven ability to establish and operationalize metadata governance functions, including policies, standards, roles, and controls.
Demonstrated verbal and written communication skills, with strong data, metadata, and governance storytelling that drives adoption and influences stakeholders.
Hands on experience implementing and scaling an Enterprise Data Catalog or metadata repository (Alation or equivalent), including curation workflows and adoption strategies.
Understanding of how semantic models, metadata, and knowledge representation enable applied AI and LLM use cases, such as search, question answering, and decision support.
Strong business acumen in relating data to business process drivers and performance management, with a value delivery mindset.
Collaborative, team focused delivery experience that drives outcomes across enterprise data, analytics, and technology organizations.
Strategic thinker with the ability to translate enterprise objectives into actionable plans and measurable outcomes.
Excellent knowledge of data and metadata management principles, business analysis, and process engineering.

TECHNOLOGIES:

Knowledge Graphs

Neo4j

Stardog

Amazon Neptune / Azure Cosmos DB (Graph)

Ontology & Semantic Modeling

OWL / RDF / SKOS

Protégé

TopBraid

Stardog Studio

Enterprise Data & Knowledge Catalogs

Alation

Collibra

Microsoft Purview

DataHub

Knowledge Modeling Techniques

Ontologies & domain models

Business vocabularies & taxonomies

Semantic normalization

Entity & relationship modeling

AI Context Delivery (Grounding Layer)

Vector databases (Pinecone, Weaviate, Azure AI Search)

Graph + vector retrieval (hybrid RAG)

Metadata‑driven prompt context

#LI-BS2

COMPENSATION AND BENEFITS

This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.

Please click here for a list of benefits for which this position is eligible.

Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.

Job Posting Expiration Date: 06/16/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law.

Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing [email protected].

#LI-Remote

Apply Now

Refine Your Search

ai architect jobs in cleveland oh

AI-Ready Knowledge Architect

Applied AI Health Data Architect-Senior Manager

AI Data Architect

Business Process Architect

Physical and Spatial AI Architect

Technical Commerce & AI Manager | Agentic Commerce

AI Solutions Architect

HPC AI Solution Architect (S2S)

AI Native Software Engineering Manager

Software Engineer III- AI & Engineering/Software as a Service

Staff Software Engineer (AI Applications)

Amazon Connect Technical Architect, Associate Vice President

Solution Architect: ServiceNow HR Service Delivery - Product Engineering

Principal Microsoft Cloud & AI Security Architect

Supply Chain and Engineering– Software Defined Vehicle (SDV) Go-To-Market, Senior Manager / Associate Director

Senior Information Security Architect (AWS)

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