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Director of AI Enablement & Systems

Stand 8

San Francisco, California

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JOB DETAILS
SKILLS
ADP, Amazon Web Services (AWS), Application Programming Interface (API), Architectural Services, Artificial Intelligence (AI), Automation, Cloud Architecture, Cloud Computing, Computer Security, Cross-Functional, Customer Relationship Management (CRM), Customer Relationship Management (CRM) Systems, Data Warehousing, Documentation, ERP (Enterprise Resource Planning), Employee Assistance Plan, Enterprise Protection, GraphQL, IT Governance, Information/Data Security (InfoSec), MCP - Microsoft Certified Professional, Maintain Compliance, Microsoft Windows Azure, Operational Measurement, Operations Management, Performance Analysis, Performance Metrics, Power BI, Process Improvement, Prototyping, REST (Representational State Transfer), Regulatory Compliance, Risk Management, Salesforce.com, Scalable System Development, Service Level Agreement (SLA), Snowflake Schema, Software Development, Standards Development, System Architecture, System Integration (SI), Systems Maintenance, Systems Scalability, Technical Leadership, Technical Strategy, Testing
LOCATION
San Francisco, California
POSTED
1 day ago
STAND 8 provides end to end IT solutions to enterprise partners across the United States and with offices in Los Angeles, New York, New Jersey, Atlanta, and more including internationally in Mexico and India.

AI Enablement & Systems Director is responsible for building and maintaining the infrastructure, platforms, standards, and governance frameworks that enable AI development and enterprise systems excellence across the organization. This role operates as a strategic and technical conduit between development teams, business users, and technology leadership. The position focuses on enabling rapid, secure, and scalable development of AI-enabled and enterprise solutions through standardized platforms and frameworks. The Director is hands-on, driving initiatives from concept to production while ensuring measurable impact, operational efficiency, and strong alignment with enterprise security and compliance standards.

Location & Work Type
Location: San Francisco, CA
Work Type: Hybrid

Key Responsibilities
  • Own reliability, scalability, cost efficiency, and operational SLAs of AI infrastructure including MCP servers.
  • Define and maintain standardized development environments, integration frameworks, and architecture patterns for AI solutions.
  • Lead end-to-end delivery of AI infrastructure initiatives from design through production deployment.
  • Monitor system performance, usage, and cost efficiency, driving continuous optimization.
  • Provide technical guidance to developers and remove architectural, integration, and infrastructure blockers.
  • Prototype solutions to validate approaches prior to enterprise-wide rollout.
  • Evaluate and implement AI platforms and productivity tools aligned with enterprise standards.
  • Develop frameworks for responsible AI use, prompt engineering, and lifecycle management.
  • Own architecture, governance, and optimization of CRM and ERP systems ensuring scalability and AI readiness.
  • Build APIs, data access frameworks, and automation pathways to support system extensibility.
  • Drive enterprise system improvements to reduce workflow bottlenecks and enhance operational efficiency.
  • Lead system implementation projects including requirements, build, testing, deployment, and optimization.
  • Maintain system architecture documentation and integration mappings.
  • Define and track operational metrics for system performance and automation efficiency.
  • Own data warehouse strategy, architecture, and governance for analytics and AI enablement.
  • Ensure reliable reporting infrastructure and secure data access for developers and analysts.
  • Design and manage AI tool evaluation frameworks covering scalability, security, and business impact.
  • Establish governance guardrails for AI tools, enterprise systems, and integrations.
  • Partner with security and IT leadership to ensure compliance with enterprise standards.
  • Collaborate cross-functionally to translate business needs into scalable technical solutions.
Qualifications
Required:
  • 10+ years of experience in enterprise systems, data architecture, AI systems, or related technical leadership roles.
  • Proven experience deploying AI-enabled applications or developer platforms.
  • Hands-on experience with LLM-based tools (e.g., ChatGPT, Claude) and workflow automation platforms (e.g., N8N or similar).
  • Experience architecting CRM, ERP, and data warehouse environments.
  • Strong understanding of APIs, integrations, cloud architecture, and secure deployment practices.
  • Experience working in partnership with Information Security and IT on governance and risk management.
  • Ability to operate independently in a high-performance environment.
Preferred (Optional):
  • Experience with AI platform tools such as Claude, ChatGPT, Copilot, or Bedrock.
  • Experience with CRM platforms such as Salesforce.
  • Experience with data platforms such as Snowflake or Power BI.
  • Familiarity with workflow automation tools such as Power Automate.
  • Experience with cloud infrastructure platforms such as AWS.
  • Strong understanding of API development including REST or GraphQL.
  • Experience with security and identity tools such as Okta or Azure.
Benefits
  • Medical coverage and Health Savings Account (HSA) through Anthem
  • Dental/Vision/Various Ancillary coverages through Unum
  • 401(k) retirement savings plan
  • Paid-time-off options
  • Company-paid Employee Assistance Program (EAP)
  • Discount programs through ADP Work

About the Company

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Stand 8

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