AI Solutions Architect
Owens & Minor, Inc.27 days ago
Remote, United StatesSenior
Responsibilities
- Identify, prioritize, and roadmap high-value enterprise AI use cases based on business value, feasibility, risk, and strategic alignment.
- Develop business cases, define KPIs, and track value realization, adoption, productivity benefits, and risk posture.
- Translate business needs into AI-enabled workflows, user journeys, operating-model impacts, human-in-the-loop checkpoints, and solution briefs.
- Define Claude Enterprise usage patterns, solution templates, approved architecture approaches, and MCP integration patterns.
- Assess integration complexity, data dependencies, technical feasibility, scalability, supportability, and operational readiness.
- Coordinate with IAM, Cybersecurity, Infrastructure/Cloud, Enterprise Architecture, Data Engineering, and application teams.
- Prepare use cases for AI governance review and coordinate risk classification, policy alignment, human oversight, auditability, and exception management.
- Validate alignment with identity, security, data protection, audit logging, vendor risk, and access-control requirements before production deployment.
- Create AI playbooks, adoption guides, use case templates, champion enablement materials, and reusable patterns across business functions.
Requirements
- 8+ years of experience in business transformation, solution architecture, enterprise applications, cloud/platform architecture, digital transformation, or related roles.
- Practical knowledge of GenAI platforms, Claude Enterprise, Claude Platform, Claude API, LLM capabilities, agentic workflows, and MCP-style integration concepts.
- Ability to translate operating challenges into AI-enabled outcomes, business cases, and measurable KPIs.
- Technical depth to lead design discussions with IAM, Cybersecurity, Infrastructure, Data Engineering, and Enterprise Applications teams.
- Working knowledge of API integration, enterprise architecture, identity and access controls, security reviews, data governance, and operational readiness.
- Strong facilitation and executive communication skills across business leaders, governance committees, architects, engineers, and vendors.
- Master's degree or PhD in Computer Engineering or Data Science.
- Preferred experience with AI governance, AI adoption programs, LLMOps, enterprise AI operating models, reusable solution patterns, playbooks, scoring frameworks, or intake processes.
- Preferred familiarity with Supply Chain, Procurement, Operations, Distribution, Healthcare, Finance, Sales, or Customer Service use cases.
Benefits
- Fully remote within the United States.
- Medical, dental, and vision coverage beginning on the first day of employment for full-time teammates.
- Educational assistance, employer-paid life insurance and disability coverage, supplemental insurance programs, adoption assistance, fertility benefits, parental leave, HSA, 401(k), paid holidays, vacation, personal days, and well-being programs.
- Applications are accepted on an ongoing basis.
Tech Stack
Snowflake
Categories