Skip to content

Open nowPosted 11 hours ago

Director of AI and Enterprise Architecture

NewRocket50 open roles

Where
Remote
Work mode
Remote
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowDirector of AI and Enterprise ArchitectureNewRocket · Remote
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on NewRocket's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.1% of postings close within 7 days. Measured by our own scanner across the market. NewRocket postings stay open a median of 19 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.1%7 days
  4. 21.1%14 days
  5. 35.7%30 days
  6. 58.7%60 days
This job: posted 11 hours ago

NewRocket median: 19 days open

The posting

Director of AI and Enterprise Architecture

Remote – Western US (Pacific or Mountain time zone preferred)

Why Us

NewRocket is a ServiceNow Elite Partner and a Claude Select partner, helping enterprises reimagine how work gets done with ServiceNow and AI. We work with public and private sector organizations, including some of the world’s biggest brands, to simplify processes, remove complexity, and turn the promise of AI into measurable business outcomes. We are “Raising the Bar” in delivering technology’s promise to create new kinds of experiences for our customers.

Our Core Values: Excellence, Creativity, Integrity, Teamwork and Empathy #ExCITE. At NewRocket, these values guide everything we do: they are the foundation of our culture and define how we Go Beyond for our clients.

The Role

About the role

We're hiring a Director of AI and Enterprise Architecture to be the technical leader on our client engagements, working alongside our forward deployed engineers as they build and deploy agentic AI inside complex enterprise environments. This is a billable, client-facing consulting role.

Large enterprises don't run on one system. They run on decades of layered platforms: ERP backbones like SAP and Oracle, service and workflow platforms like ServiceNow, CRM, HR and finance suites, custom integrations, data warehouses, and the identity and security controls that hold it all together. Agentic AI only creates value when it can work safely inside that landscape: reading the right data, taking the right actions, respecting approvals and access controls, and leaving an audit trail that satisfies IT, security and compliance.

On each engagement, you're the person who understands that landscape. You map the client's systems, translate their business goals into the architecture and requirements agents need, and lead the forward deployed engineers through it as they build, so workflows make it out of pilot and into the client's production environment.

What you'll do

  • Lead engagements technically. Serve as the senior technical leader on client engagements, setting architecture direction and guiding the forward deployed engineers who are building alongside you.
  • Map the client's system landscape. Quickly get to grips with each client's environment, including ServiceNow, SAP, Oracle, Salesforce, Workday, custom systems and the integrations between them, and turn it into a clear picture the engineering team can build against.
  • Translate business processes into agent-ready requirements. Work with client process owners to break down workflows like incident resolution, procure-to-pay, order-to-cash and employee onboarding into the tasks, data, decisions, permissions and human approval points an agent must handle.
  • Design how agents connect to systems of record. Define the integration approach for each engagement: APIs, integration platforms, event streams, MCP and tool-calling layers, and data access patterns.
  • Get workflows into production. Navigate the client's environments, change management, release processes, testing, monitoring and support handoff so agentic workflows move from pilot to production.
  • Clear the path with security and governance. Design identity and access models for agents (service accounts, least privilege, delegated authority), audit logging and controls, and win sign-off from client CISOs, risk teams and auditors.
  • Advise senior client stakeholders. Act as a trusted architecture advisor to client CIOs, CTOs, enterprise architects and platform owners, and identify where agentic workflows can expand into new use cases.
  • Strengthen the practice. Turn what you learn on engagements into reusable blueprints, integration playbooks and readiness assessments, and share field insight with our product and engineering teams.

What you bring

  • 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 (S/4HANA, BTP), Oracle (Fusion, E-Business Suite, OCI), 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 (MuleSoft, Boomi, SAP Integration Suite or similar), 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, and a clear point of view on where agents fit and where they don't.
  • 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, such as at a Big Four firm (Deloitte, PwC, EY, KPMG), Accenture or another global systems integrator or enterprise software vendor's professional services team, including working in a billable delivery model and advising executive stakeholders in plain business terms.
  • Experience serving as technical lead for engineering teams on delivery engagements, guiding engineers who are building while staying hands-on enough to unblock them.
  • Bachelor's degree in computer science, engineering, information systems or a related field, or equivalent experience.

Location and travel

  • You must live in the Western United States, in the Mountain or Pacific time zone.
  • You must be willing to travel up to 75% to client sites.

Nice to have

  • Enterprise architecture frameworks such as TOGAF, or platform certifications (ServiceNow Certified Technical Architect, SAP or Oracle architect certifications).
  • Familiarity with agent frameworks and protocols, including Model Context Protocol (MCP), tool use and function calling, retrieval-augmented generation and agent evaluation methods.
  • Experience with cloud platforms (AWS, Azure, GCP) and modern data platforms (Snowflake, Databricks).
  • Experience working alongside forward deployed engineering teams, or in a similar embedded delivery model.
  • Experience in regulated industries such as financial services, healthcare, public sector or manufacturing.
  • Public thought leadership: talks, writing or published reference architectures on enterprise AI.

What success looks like

This is a billable, client-facing consulting role. You'll be embedded on customer engagements alongside our forward deployed engineers, serving as the architecture lead who helps the team navigate complex enterprise system landscapes.

  1. Engagement delivery: You consistently meet billable utilization targets and are the go-to architect on our most complex client engagements.
  2. Landscape mastery for the team: On each engagement, you quickly map the client's system landscape (ServiceNow, SAP, Oracle and the integrations between them) and give forward deployed engineers a clear path through it: where the data lives, which APIs and controls apply, and who owns what.
  3. Production outcomes: Agentic workflows you architect reach the client's production environment, with sign-off from their IT, security and risk teams.
  4. Client trust: Clients see you as a senior advisor, leading to engagement extensions, expanded scope and referenceable outcomes.
  5. Repeatable delivery: Patterns, integration playbooks and readiness assessments from your engagements are reused across the practice, making each new deployment faster.

We Take Care of Our People

NewRocket is committed to a diverse and inclusive workplace. We value and celebrate diversity, believing that every employee matters and should be respected and heard. We are proud to be an equal opportunity workplace and affirmative action employer, committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin, or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, citizenship, military, or Veteran status. For individuals with disabilities who would like to request an accommodation, please contact [email protected].

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against NewRocket's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.
  3. We apply on NewRocket's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.
  4. Every reply, sorted

    NewRocket's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.
  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.