Senior AI Implementation Engineer - Moveworks
ServiceNow · San Francisco, CA
- On site
- Full-time
- $192,100 / year
- San Francisco, CA
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Job highlights
- Implement AI solutions for customers on Moveworks Platform.
- Design and build custom AI solutions for business challenges.
- Integrate Moveworks Platform with enterprise systems.
- Collaborate with engineering and product teams.
- Provide strategic guidance and technical expertise to clients.
About the role
About the Role:
As a Senior AI Implementation Engineer at Moveworks, you’ll be responsible for making customers successful with the Moveworks Platform by accelerating product adoption through various customer engagements. You are a critical, high-leverage technical individual that operates at the intersection of Customer Success, Product Management, and Engineering.
Your primary mission is to translate complex customer business process challenges into innovative, high-impact AI solutions built on our platform. This role provides full-stack ownership of technical success, allowing you to not only deploy capabilities in the current product but also directly influence the product's evolution by ensuring that learnings are folded back into our core platform.
Core Responsibilities & Impact:
- Full-stack Ownership: Partner deeply with customers throughout the entire delivery lifecycle of AI Agents on the Moveworks Platform: Vision-Lock, Solution Design/Architecture, Building, Tuning, and launch.
- Custom Solution Design: Architect, design and consult with customers to develop high-impact technical AI solutions on the Moveworks platform by helping them leverage AI in novel and meaningful ways to solve complex business challenges.
- Integration and Implementation: Integrate the Moveworks Platform to Customer enterprise systems in an innovative, secure, and performant manner.
- Product Partnership: Work closely with engineering and product teams on new product rollouts, and help drive product decision making by synthesizing on-the-ground customer feedback and technical gaps.
- Strategic Autonomy: Consult customers and apply creative freedom in solution design to shape the customer’s Agentic AI roadmap.
About You:
You are a technical generalist & a “do-er” with a deep, intuitive understanding of complex systems and a relentless focus on customer impact. You thrive in a dynamic, high-growth environment where you can both build and lead.
Technical Acumen & Curiosity Mindset:
You are a rapid learner with high technical aptitude and strong generalist skills, with instincts to quickly learn both new technical and business domains. You possess a curiosity to understand details from both a technical and a business perspective, i.e., trying to understand: "what happens under the hood?" and “why is this done that way?”
Technical Mastery:
Strong grasp of API-based systems integration, LLM-based systems design including prompt engineering, context engineering, and data modeling.
Product Excellence Obsession:
You have product taste/judgment and are obsessed with building and delivering exceptional product experiences for users.
Reusability:
You share what works with the broader team and help generalize solutions into reusable templates.
Customer-Centric Soft Skills:
You have the communication skills required for deep customer partnerships, and you genuinely enjoy working directly with customers. You are compelled to develop and deliver compelling solution narratives through the creation of high-quality artifacts (e.g., architecture diagrams, solution proposals, product documentation, SOWs) as well as engaging presentations and demos, tailored to the technical and business awareness of the audience.
Strategic Guidance & Influence:
Serve as a trusted advisor to customers, providing strategic direction to help them overcome technical and organizational obstacles. This includes developing and delivering context-specific solutions, as well as upskilling customer teams to leverage the product independently.
Entrepreneurial Drive / Grit:
You aspire to a high-growth career path, actively seeking to gain maximum exposure and learning across engineering, product, and business functions as quickly as possible. You lean into navigating through challenging business situations or antiquated legacy systems.
Ecosystem Partnership:
You possess a strong sense of personal accountability to both customers and internal teammates who rely on your expertise.
Qualifications:
- 5+ years of experience in a technical role, such as a Forward Deployed Engineer, Solutions Engineer, Customer Success Engineer, Solutions Architect, Consulting Engineer, or Software Engineer; or an advanced degree with 3+ years.
- Ability to operate across multiple business functions or technical domains, demonstrating adaptability, quick-to-learn, and broad technical skills.
- Experience designing, building, and launching full-stack workflows and automations, leveraging REST APIs, iPaaS automation (Workato, Azure Functions, AWS Lambdas, ServiceNow Flow Designer), or generic scripting (e.g., Python, JavaScript, Golang, etc.).
- Fully independent practitioner who owns work with minimal guidance, applying in-depth knowledge to problems of diverse scope and evaluating multiple factors to arrive at sound technical decisions.
- Track record of contributing ideas and documentation across project teams, not just within immediate assignments.
- You are willing to travel up to 25% of the time.
Preferred Qualifications:
- Familiarity with enterprise platforms (e.g. ServiceNow, Jira Service Desk, Zendesk, Workday, Okta, etc.) is a plus.
- You have familiarity with Linux and Windows environments and using the command line.
- You have a great track record of driving successful technical adoption with medium to large-sized enterprise projects.
- You stay current with the latest AI tools and frameworks, and think about how to apply them thoughtfully to work smarter and build reliable, scalable solutions.
Compensation & Benefits:
For positions in this location, we offer a base pay of $116,400 to $192,100, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.
Additional Information:
- Work Personas: We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
- Equal Opportunity Employer: ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
- Accommodations: We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.
- Export Control Regulations: For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
Key skills/competency:
- AI Implementation
- Customer Success
- Product Management
- Engineering
- Full-stack Development
- API Integration
- LLM Systems Design
- Prompt Engineering
- Solutions Architecture
- Customer Engagement
Skills & topics
- AI Implementation Engineer
- AI
- Machine Learning
- LLM
- Prompt Engineering
- Customer Success
- Solutions Architect
- Full Stack
- API Integration
- Automation
How to get hired
- Tailor your resume: Highlight AI implementation, full-stack development, and customer-facing experience, aligning with 'Senior AI Implementation Engineer' requirements.
- Showcase technical skills: Emphasize API integration, LLM design, prompt engineering, and automation tool experience.
- Demonstrate customer focus: Provide examples of successful customer partnerships and solution delivery.
- Prepare for technical interviews: Be ready to discuss system design, AI concepts, and problem-solving approaches.
- Research Moveworks: Understand their AI platform and how you can contribute to customer success.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the key responsibilities for a Senior AI Implementation Engineer at Moveworks?
- As a Senior AI Implementation Engineer at Moveworks, you'll own the full lifecycle of AI agent implementation for customers, from vision to launch. This includes designing custom AI solutions, integrating the Moveworks Platform with enterprise systems, and partnering with product and engineering teams. Your role is critical in ensuring customer success and influencing product evolution.
- What technical skills are most important for this Senior AI Implementation Engineer role?
- Strong technical mastery is essential, including API-based systems integration, LLM-based systems design (prompt engineering, context engineering, data modeling), and experience with automation tools like Workato or AWS Lambdas. Full-stack workflow development and scripting languages such as Python or JavaScript are also crucial.
- How does Moveworks foster collaboration between customer success, product, and engineering?
- The Senior AI Implementation Engineer role is explicitly positioned at the intersection of these teams. You'll work closely with customers, provide direct feedback to product and engineering for feature development, and ensure seamless integration of AI solutions, fostering a collaborative environment.
- What opportunities for career growth are available at Moveworks for a Senior AI Implementation Engineer?
- Moveworks offers a high-growth environment where you can gain broad exposure across engineering, product, and business functions. The role encourages entrepreneurial drive and provides opportunities to lead and build within a dynamic setting, supporting a high-growth career path.
- How does Moveworks support customer adoption of their AI platform?
- Moveworks supports customer adoption by providing full-stack ownership of technical success, from initial vision-locking to solution design, building, tuning, and launch. They also offer strategic guidance, help customers leverage AI in novel ways, and upskill customer teams to promote independent product utilization.
- What is the expected travel for the Senior AI Implementation Engineer position at Moveworks?
- The role requires willingness to travel up to 25% of the time. This travel is likely to support customer engagements, site visits, and collaborative meetings essential for successful project delivery and client relationships.