1 month ago

AI Implementation Engineer

ServiceNow

On Site
Full Time
$106,200
Albany, NY
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Job Overview

Job TitleAI Implementation Engineer
Job TypeFull Time
Offered Salary$106,200
LocationAlbany, NY

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Job Description

About the Role

As an 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 system 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 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 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/judgement 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 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

To be successful in this role you have:

  • 2+ 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 without any experience
  • 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.).
  • 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

Key skills/competency

  • AI Implementation Engineer
  • Customer Success
  • Product Management
  • Engineering
  • AI Solutions
  • Full-stack Development
  • API Integration
  • LLM Systems Design
  • Prompt Engineering
  • Customer Engagement

Tags:

AI Implementation Engineer
AI
Implementation
Engineer
Moveworks
ServiceNow
Customer Success
Solutions Architect
LLM
Prompt Engineering
API Integration
Full-Stack Development
Python
JavaScript

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How to Get Hired at ServiceNow

  • Tailor your resume: Highlight experience with AI implementation, API integration, and customer-facing technical roles. Quantify achievements in previous projects.
  • Showcase technical skills: Emphasize proficiency in LLM systems design, prompt engineering, and full-stack development (Python, JavaScript, etc.).
  • Demonstrate customer focus: Provide examples of successfully partnering with clients to solve complex business challenges using technology.
  • Prepare for technical interviews: Be ready to discuss system architecture, integration strategies, and AI solution design scenarios.
  • Research Moveworks: Understand their platform's capabilities and how you can contribute to customer success.

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