Director of AI and Enterprise Architecture
New
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NewRocketEnterprise AI consulting
Remote – Western US (Pacific or Mountain time zone preferred). You must live in the Western United States, in the Mountain or Pacific time zone., Pacific or Mountain time zoneFull-TimeDirector
Salary not disclosed
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Job Details
- Experience
- 7 to 10 years of experience in enterprise architecture, solution architecture or technical leadership roles within large, complex enterprise software environments.
- Required Skills
- OracleSalesforceSAPRESTful APIsServiceNowWorkday
Requirements
- Have 7 to 10 years of experience in enterprise architecture, solution architecture or technical leadership in complex enterprise software environments.
- Bring hands-on knowledge of at least two major enterprise platforms, such as ServiceNow, SAP, Oracle, Salesforce or Workday, including data models, APIs, extension frameworks and upgrade constraints.
- Have grounding in REST and SOAP APIs, middleware and iPaaS, event-driven architecture and master data management.
- Have practical production experience with AI or automation, such as LLM-based applications, agentic workflows, RPA or intelligent automation.
- Have a track record moving enterprise systems from design to production, including environment management, SDLC, change control, testing, monitoring and operational support.
- Understand enterprise security and governance, including identity and access management, SSO, OAuth, role-based access, audit and regulatory requirements.
- Bring client-facing consulting experience in a billable delivery model and experience advising executive stakeholders.
- Have experience serving as a technical lead for engineering teams on delivery engagements.
- Have a bachelor’s degree in computer science, engineering, information systems or a related field, or equivalent experience.
- Live in the Western United States in the Mountain or Pacific time zone.
- Be willing to travel up to 75% to client sites.
Responsibilities
- Lead client engagements technically and set architecture direction for forward deployed engineers.
- Map client environments, including enterprise platforms, custom systems and their integrations.
- Translate business workflows into agent-ready tasks, data, decisions, permissions and approval points.
- Define integration approaches using APIs, integration platforms, event streams, MCP, tool-calling layers and data access patterns.
- Guide workflows through client environments, change management, release processes, testing, monitoring and support handoff to production.
- Design agent identity and access models, audit logging and controls, and secure sign-off from client security and risk stakeholders.
- Advise client executives, enterprise architects and platform owners on agentic workflows and use cases.
- Develop reusable blueprints, integration playbooks and readiness assessments, and share field insights with product and engineering teams.
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