Director of AI, Enterprise Architecture
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Job Description
Director leading enterprise AI architecture for NewRocket, a ServiceNow Elite Partner and Claude Select partner. Guiding agentic AI deployments across complex enterprise systems and client engagements.
Responsibilities:
- Serve as the senior technical leader on client engagements, setting architecture direction and guiding forward deployed engineers
- Map clients' enterprise system landscapes, including ServiceNow, SAP, Oracle, Salesforce, Workday, custom systems and integrations
- Translate business processes into agent-ready requirements covering tasks, data, decisions, permissions and human approval points
- Define integration approaches using APIs, integration platforms, event streams, MCP and tool-calling layers, and data access patterns
- Navigate environments, change management, release processes, testing, monitoring and support handoff to move workflows from pilot to production
- Design agent identity and access models, audit logging and governance controls, and obtain sign-off from security and risk stakeholders
- Advise CIOs, CTOs, enterprise architects and platform owners on agentic workflows and new use cases
- Create reusable blueprints, integration playbooks and readiness assessments, and share field insight with product and engineering teams
- Meet billable utilization targets and deliver complex client engagements
- Serve as a trusted senior advisor, supporting engagement extensions and expanded scope
Requirements:
- 7 to 10 years of experience in enterprise architecture, solution architecture or technical leadership roles within large, complex enterprise software environments
- Deep hands-on knowledge of at least two major enterprise platforms, such as ServiceNow, SAP, Oracle, Salesforce or Workday, including their data models, APIs, extension frameworks and upgrade constraints
- Strong grounding in enterprise integration: REST and SOAP APIs, middleware and iPaaS, event-driven architecture, and master data management
- Practical experience with AI or automation in production, such as LLM-based applications, agentic workflows, RPA or intelligent automation
- Proven track record moving enterprise systems from design to production, including environment management, SDLC and change control, testing, monitoring and operational support
- Solid understanding of enterprise security and governance: identity and access management, SSO and OAuth, role-based access, audit, and regulatory requirements such as SOX, GDPR or HIPAA
- Client-facing consulting experience, including working in a billable delivery model and advising executive stakeholders
- Experience serving as technical lead for engineering teams on delivery engagements
- Bachelor's degree in computer science, engineering, information systems or a related field, or equivalent experience
- Must live in the Western United States, in the Mountain or Pacific time zone
- Must be willing to travel up to 75% to client sites
Benefits:
- Diverse and inclusive workplace
- Equal opportunity workplace and affirmative action employer
- Disability accommodations available upon request
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