AI Solutions Architect

Owens & Minor • Remote - California, CA

1d • Remote

About The Position

The AI Solutions Architect is a senior hybrid business-and-technology role responsible for identifying, designing, governing, and scaling AI-enabled solutions across the enterprise. The role combines business solution architecture, AI platform architecture, and responsible AI governance.

The architect partners with business leaders to identify valuable AI opportunities and works with IAM, Cybersecurity, Infrastructure/Cloud, Enterprise Architecture, Data & Analytics, and Enterprise Applications teams to ensure solutions are feasible, secure, compliant, supportable, and aligned with enterprise standards. The position is fully remote and open to applicants anywhere in the United States.

The role’s mission is to 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 designs; ensure appropriate access controls, security review, data governance, operational readiness, and responsible AI oversight; and scale reusable patterns across business functions.

Requirements

• At least 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 usage patterns, LLM capabilities, agentic workflows, and MCP-style integration concepts.
• Strong business acumen and ability to translate operating challenges into AI-enabled outcomes, business cases, and measurable KPIs.
• Technical depth sufficient 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 Ph.D. in Computer Engineering or Data Science.

Nice To Haves

• Experience establishing AI governance, AI adoption programs, LLMOps, or enterprise AI operating models.
• Experience with Supply Chain, Procurement, Operations, Distribution, Healthcare, Finance, Sales, or Customer Service use cases.
• Experience creating reusable solution patterns, playbooks, adoption guides, scoring frameworks, or intake processes.
• Familiarity with SAP, Salesforce, ServiceNow, Snowflake, Smartsheet, API gateways, or workflow automation platforms.

Responsibilities

• Facilitate business ideation workshops and identify high-value AI opportunities.
• Prioritize AI use cases based on business value, feasibility, adoption readiness, risk, and strategic alignment.
• Develop business cases, define KPIs, track value realization, and 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 and technical stakeholders.
• Partner with product, process, and functional leaders to move from experimentation to governed adoption.
• 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 to make designs scalable and supportable.
• Prepare use cases for AI governance review and maintain required documentation.
• Coordinate risk classification, policy alignment, human oversight, auditability, and exception management.
• Ensure business teams understand approved, restricted, and prohibited AI usage patterns; 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.
• Validate that AI solutions align with IAM and Security controls while those teams remain accountable for their domains; 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 practical, responsible, measurable AI adoption habits.

Benefits

• Medical, dental, and vision plans start on the first day of employment 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, and parental leave.
• Health Savings Account (HSA) and 401(k), as well as other voluntary benefits.
• Sick days, short-term leave, holidays, vacation days, personal days, and additional types of leave, including parental leave.
• Teammate Assistance Program (TAP), Calm Health, Cancer Resources Services, and discount programs at no cost.
• Potential 15% annual bonus.

What This Job Offers

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