AI Solutions Architect

Owens & Minor

. Identify, design, govern and scale AI-enabled solutions across the enterprise .

Posted 11/5/2026full-timeRemote • United StatesSeniorLead💰 $180,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and scaling AI-enabled solutions, translating business needs into practical AI designs, and ensuring data governance and operational readiness. Strong ability to collaborate across teams and facilitate business ideation workshops to drive measurable outcomes.

Highest-signal resume keywords

AI Solution DesignBusiness TransformationAPI IntegrationData GovernanceExecutive Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

GenAI PlatformsClaude EnterpriseLLM CapabilitiesAgentic WorkflowsMCP Integration ConceptsEnterprise ArchitectureIdentity/Access ControlsSecurity Review ProcessesOperational Readiness PracticesBusiness Case Development

Soft Skills

Facilitation SkillsStakeholder EngagementProblem-SolvingCollaboration

Tools & Technologies

SAPSalesforceServiceNowSnowflakeSmartsheetAPI GatewaysWorkflow Automation Platforms

Certifications & Qualifications

Master's Degree in Computer EngineeringPhD in Data Science

Industry Keywords

Supply ChainProcurementOperationsFinanceCustomer Service

Tech Stack

Tools & technologies

CloudCyber SecurityServiceNowSnowflake

About the role

Key responsibilities & impact

Identify, design, govern and scale AI-enabled solutions across the enterprise
Partner with business leaders to identify high-value AI opportunities
Collaborate with IAM, Cybersecurity, Infrastructure/Cloud, Enterprise Architecture, Data & Analytics and Enterprise Applications teams
Turn Claude Enterprise and related AI capabilities into measurable business outcomes
Create a governed intake-to-delivery path for AI use cases
Translate business opportunities into practical AI designs
Ensure access controls, security review, data governance, operational readiness and responsible AI oversight
Scale repeatable AI patterns across Supply Chain, Procurement, Operations, Finance, Sales, Customer Service and IT
Facilitate business ideation workshops and prioritize AI use cases
Develop business cases, define KPIs and track value realization after deployment
Maintain an enterprise AI use case roadmap
Translate business needs into AI-enabled workflows, user journeys and operating-model impacts
Define human-in-the-loop checkpoints, data needs, exception handling and adoption requirements
Create solution briefs for business stakeholders and technical teams
Define Claude Enterprise usage patterns, solution templates and approved architecture approaches
Support MCP integration pattern design for enterprise systems, APIs and approved data sources
Assess integration complexity, data dependencies, technical feasibility and operational readiness
Coordinate with Infrastructure/Cloud, Enterprise Architecture, Data Engineering and application teams
Prepare use cases for AI governance review and maintain required documentation
Coordinate risk classification, policy alignment, human oversight, auditability and exception management
Report on adoption, value realization, risk posture and control maturity
Partner with IAM on RBAC, SSO, provisioning, access reviews and privileged access considerations
Partner with Cybersecurity on data protection, audit logging, vendor risk, prompt/data handling and security architecture review
Escalate unresolved control gaps before production deployment or scaled adoption
Create AI playbooks, business adoption guides, use case templates and champion enablement materials
Track active usage, stakeholder satisfaction, productivity benefits, cycle-time reduction and lessons learned
Promote reuse of proven AI patterns and help leaders establish responsible, measurable AI adoption habits

Requirements

What you’ll need

8+ years of experience across business transformation, solution architecture, enterprise applications, cloud/platform architecture, digital transformation or related roles
Practical knowledge of GenAI platforms, Claude Enterprise, Platform, API and its usage patterns, LLM capabilities, agentic workflows and MCP-style integration concepts
Strong business acumen with ability to translate operating challenges into AI-enabled outcomes, business cases and measurable KPIs
Sufficient technical depth to lead design conversations with IAM, Cybersecurity, Infrastructure, Data Engineering and Enterprise Applications teams
Working knowledge of API integration, enterprise architecture, identity/access controls, security review processes, data governance and operational readiness practices
Strong facilitation and executive communication skills across business leaders, governance committees, architects, engineers and vendor partners
Master's Degree or PhD in Computer Engineering/Data Science
Preferred: experience standing up AI governance, AI adoption programs, LLMOps or enterprise AI operating models
Preferred: experience with Supply Chain, Procurement, Operations, Distribution, Healthcare, Finance, Sales or Customer Service use cases
Preferred: experience creating reusable solution patterns, playbooks, adoption guides, scoring frameworks or intake processes
Preferred: familiarity with SAP, Salesforce, ServiceNow, Snowflake, Smartsheet, API gateways or workflow automation platforms

Benefits

Comp & perks

Comprehensive healthcare plan including medical, dental, and vision plans starting on day one for full-time teammates
Educational assistance for eligible teammates enrolled in an approved, accredited collegiate program
Employer-paid life insurance and disability coverage
Voluntary supplemental life, hospitalization, critical illness, and other insurance programs
Adoption assistance
Fertility benefits through the medical plan
Parental leave
Health Savings Account (HSA)
401(k)
Paid sick days, short-term leave, holidays, vacation days, personal days, and additional types of leave
Teammate Assistance Program (TAP)
Calm Health
Cancer Resources Services
Discount programs
Potential 15% annual bonus