AI Solutions Architect

This is a fully remote position, open to applicants in United States.

📋 Description

• Identify, design, govern, and scale AI-enabled solutions throughout the organization.

• Collaborate with business leaders to pinpoint high-value AI opportunities.

• Work alongside IAM, Cybersecurity, Infrastructure/Cloud, Enterprise Architecture, Data & Analytics, and Enterprise Applications teams.

• Transform Claude Enterprise and associated AI capabilities into quantifiable business results.

• Establish a governed intake-to-delivery process for AI use cases.

• Convert business opportunities into actionable AI designs.

• Ensure access controls, security assessments, data governance, operational readiness, and responsible AI oversight are in place.

• Scale repeatable AI models across Supply Chain, Procurement, Operations, Finance, Sales, Customer Service, and IT.

• Lead business ideation workshops and prioritize AI use cases effectively.

• Develop business cases, set KPIs, and monitor value realization post-deployment.

• Maintain a comprehensive enterprise AI use case roadmap.

• Convert business requirements into AI-enabled workflows, user journeys, and operational impacts.

• Define human-in-the-loop checkpoints, data requirements, exception handling, and adoption needs.

• Create solution briefs for both business stakeholders and technical teams.

• Establish Claude Enterprise usage patterns, solution templates, and sanctioned architectural approaches.

• Facilitate MCP integration pattern design for enterprise systems, APIs, and approved data sources.

• Evaluate integration complexity, data dependencies, technical feasibility, and operational readiness.

• Coordinate efforts with Infrastructure/Cloud, Enterprise Architecture, Data Engineering, and application teams.

• Prepare use cases for AI governance review and maintain necessary documentation.

• Manage risk classification, policy alignment, human oversight, auditability, and exception management.

• Report on adoption, value realization, risk posture, and control maturity.

• Collaborate with IAM on RBAC, SSO, provisioning, access reviews, and privileged access considerations.

• Partner with Cybersecurity to ensure data protection, audit logging, vendor risk management, prompt/data handling, and security architecture review.

• Address unresolved control gaps before production deployment or widespread adoption.

• Create AI playbooks, business adoption guides, use case templates, and materials for champion enablement.

• Monitor active usage, stakeholder satisfaction, productivity gains, cycle-time reductions, and lessons learned.

• Encourage the reuse of validated AI patterns and assist leaders in cultivating responsible, measurable AI adoption practices.

⛳️ Requirements

• 8+ years of experience in business transformation, solution architecture, enterprise applications, cloud/platform architecture, digital transformation, or related fields.

• Practical knowledge of GenAI platforms, Claude Enterprise, Platform, API usage patterns, LLM capabilities, agentic workflows, and MCP-style integration concepts.

• Strong business acumen with the ability to translate operational challenges into AI-enabled solutions, business cases, and measurable KPIs.

• Adequate technical depth to lead design discussions 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.

• Exceptional 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 establishing AI governance, AI adoption programs, LLMOps, or enterprise AI operating models.

• Preferred: experience in Supply Chain, Procurement, Operations, Distribution, Healthcare, Finance, Sales, or Customer Service use cases.

• Preferred: experience in 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

• Comprehensive healthcare plan including medical, dental, and vision coverage starting on day one for full-time employees.

• Educational assistance for eligible employees enrolled in an approved, accredited collegiate program.

• Employer-paid life insurance and disability coverage.

• Voluntary supplemental life, hospitalization, critical illness, and other insurance offerings.

• Adoption assistance.

• Fertility benefits included in the medical plan.

• Parental leave.

• Health Savings Account (HSA).

• 401(k) retirement plan.

• Paid sick days, short-term leave, holidays, vacation days, personal days, and additional types of leave.

• Teammate Assistance Program (TAP).

• Calm Health program.

• Cancer Resource Services.

• Discount programs available.

• Potential for a 15% annual bonus.