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 into one accountable function.
This architect partners with business leaders to identify high-value AI opportunities and works closely with IAM, Cybersecurity, Infrastructure/Cloud, Enterprise Architecture, Data & Analytics and Enterprise Applications teams to ensure each AI solution is feasible, secure, compliant, supportable and aligned to enterprise standards. This role is fully remote. Applicants are welcome to apply anywhere within the United States.
Role Mission
Turn Claude Enterprise and related AI capabilities into measurable business outcomes, not just platform adoption.
Create a governed intake-to-delivery path for AI use cases across business functions.
Translate business opportunities into practical AI designs that technical teams can implement safely.
Ensure AI solutions have proper 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.
Key ResponsibilitiesAI Business Value & Use Case Portfolio
Facilitate business ideation workshops and discover high-value AI opportunities.
Prioritize AI use cases based on business value, feasibility, adoption readiness, risk and strategic alignment.
Develop business cases, define KPIs and track value realization after deployment.
Maintain an enterprise AI use case roadmap for Claude Enterprise and related governed AI capabilities.
Business Solution Design
Translate business needs into future-state 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 that are understandable to business stakeholders and actionable for technical teams.
Partner with product, process and functional leaders to move from experimentation to governed adoption.
Technical Architecture & Platform Enablement
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 ensure designs are scalable and supportable.
Governance, Responsible AI & Compliance
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.
IAM, Cybersecurity & Control Partnership
Work closely with IAM on RBAC, SSO, provisioning, access reviews and privileged access considerations.
Work closely with Cybersecurity on data protection, audit logging, vendor risk, prompt/data handling and security architecture review.
Ensure IAM and Security remain accountable for their domains while this role validates that AI solutions align with their controls.
Escalate unresolved control gaps before production deployment or scaled adoption.
Adoption, Change & Value Realization
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 across business functions.
Help leaders establish practical, responsible and measurable AI adoption habits.
Required Qualifications
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.
Preferred Qualifications
Experience standing up 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 tools and platforms such as SAP, Salesforce, ServiceNow, Snowflake, Smartsheet, API gateways or workflow automation platforms.
Required Education Qualifications
. Masters Degree or PHD in Computer Engineering/Data Science
If you feel this opportunity could be the next step in your career, we encourage you to apply. This position will accept applications on an ongoing basis.
