16 hours ago
Remote, United StatesStaff+
Responsibilities
- Lead technical architecture and delivery for client engagements while guiding forward deployed engineers.
- Map client system landscapes across enterprise platforms and integrations.
- Translate business workflows into agent-ready tasks, data requirements, decisions, permissions, and approval points.
- Design integrations using APIs, integration platforms, event streams, MCP, tool-calling layers, and data access patterns.
- Move agentic workflows from pilot to production through environment management, change processes, testing, monitoring, and support handoff.
- Design agent identity, access, audit logging, and governance controls and obtain stakeholder approval.
- Advise CIOs, CTOs, enterprise architects, platform owners, CISOs, risk teams, and auditors.
- Create reusable architecture blueprints, integration playbooks, and readiness assessments and share field insights with product and engineering teams.
Requirements
- 7–10 years of experience in enterprise architecture, solution architecture, or technical leadership within large, complex enterprise software environments.
- Hands-on knowledge of at least two major enterprise platforms, including their data models, APIs, extension frameworks, and upgrade constraints.
- Strong enterprise integration experience with REST and SOAP APIs, middleware or iPaaS, event-driven architecture, and master data management.
- Production experience with AI or automation such as LLM-based applications, agentic workflows, RPA, or intelligent automation.
- Experience taking enterprise systems from design through production, including SDLC, change control, testing, monitoring, and operational support.
- Understanding of identity and access management, SSO, OAuth, role-based access, audit, and regulatory requirements such as SOX, GDPR, or HIPAA.
- Client-facing consulting experience in a billable delivery model and experience advising executive stakeholders.
- Experience serving as technical lead for engineering teams on delivery engagements while remaining hands-on enough to unblock them.
- Bachelor’s degree in computer science, engineering, information systems, or a related field, or equivalent experience.
- Preferred qualifications include TOGAF or platform certifications, familiarity with MCP, tool use, function calling, retrieval-augmented generation, and agent evaluation methods.
- Preferred qualifications include AWS, Azure, or GCP experience; Snowflake or Databricks experience; work with forward deployed engineering teams; regulated-industry experience; and public thought leadership in enterprise AI.
Benefits
- Remote work for candidates in the Western United States, preferably in the Pacific or Mountain time zone.
- Willingness to travel up to 75% to client sites is required.
- Inclusive workplace and equal opportunity employment commitment, with disability accommodations available.
Tech Stack
Categories
Solutions Engineering
About NewRocket
NewRocket provides ServiceNow consulting, managed services, and AI-enabled workflow solutions for enterprises. The privately held firm, founded in 2016 and headquartered in Vista, California, is an Anthropic Claude Partner and designs, builds, and scales ServiceNow and LLM-based automations, governance, and integrations. It earns revenue through professional services, implementation projects, and ongoing managed support across IT service management and customer operations.