AI Solutions Architect

Overview

Senior hybrid business-and-technology role responsible for identifying, designing, governing and scaling AI-enabled solutions across the enterprise, combining business solution architecture, AI platform architecture and responsible AI governance.

What you'll do

• 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.
• 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.
• 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.
• 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.
• 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 validating that AI solutions align with their controls.
• 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 across business functions.
• Help leaders establish practical, responsible and measurable AI adoption habits.

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.
• Required education: Master's Degree or PhD in Computer Engineering/Data Science.

Nice to have

• 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.

Details

• Fully remote; applicants welcome anywhere within the United States.
• Anticipated salary range: $180,000 USD annual, with potential 15% annual bonus, subject to job-related factors such as experience, skills, education and location.
• Applications accepted on an ongoing basis.