Senior AI Agent Engineer | Moveworks

Description

You will own the full technical relationship with enterprise customers, turning their business problems into AI solutions built on the company's platform.

This is a field role, not back-office engineering. You will be the main technical contact from early design through launch, meeting customers often. You might whiteboard with a customer's IT team in the morning and work with the company's engineering and product teams in the afternoon.

Responsibilities

• Act as the main technical owner for 5, 8 enterprise customer engagements at once, pushing adoption and measurable results.
• Design and build secure, fast integrations between the platform and customer systems such as the company, Workday, Okta and Jira.
• Work with customers to design AI solutions that solve real business problems and use the platform in new, useful ways.
• Advise customers on their agentic AI roadmap and train their teams to run the platform on their own over time.
• Pass customer feedback and technical gaps to engineering and product teams to shape the platform.
• Turn successful customer solutions into reusable templates and share what you learn with the team.

Requirements

• You are a technical generalist who enjoys working with customers, sitting between engineering, consulting and customer success. You can solve a hard integration problem, then present the solution to a customer's executives.
• You build relationships well and produce clear solution artifacts, such as architecture diagrams, proposals and SOWs, for both technical and business readers.
• You understand API-based integration and LLM system design, including prompt engineering, context engineering and data modeling.
• You learn quickly and want to know how systems work and why business processes exist.
• You have good product judgment and care about the experience end users get.
• You are comfortable with ambiguity, patient with legacy systems, and seek exposure to engineering, product and business work.
• You take personal ownership toward customers and the colleagues who depend on your expertise.
• Required: experience using AI in work processes, decisions or problem solving, such as AI tools, workflow automation, reviewing AI-driven insights, or assessing AI's effect on your function or industry.
• Required: 5+ years in a customer-facing technical role, such as solutions engineer, customer success engineer, solutions architect, implementation consultant or consulting engineer.
• Required: a proven record of driving technical adoption with mid-to-large enterprise customers.
• Required: experience building and launching full-stack workflows and automations using REST APIs, iPaaS tools (Workato, Azure Functions, AWS Lambdas, the company Flow Designer), or scripting in Python, JavaScript or Golang.
• Required: willingness and ability to travel up to 25% of the time.
• Required: ability to work across several business functions and technical domains.
• Preferred: familiarity with enterprise platforms such as the company, Jira Service Desk, Zendesk, Workday or Okta.
• Preferred: familiarity with Linux and Windows environments and the command line.
• Preferred: up to date on current AI tools, frameworks and agentic design patterns, and able to apply them to build reliable, scalable solutions.

Conditions

Base pay for this location is $143,200 to $243,400.

Total pay may also include equity when applicable, variable or incentive compensation, and benefits.

Sales positions generally offer a competitive On Target Earnings (OTE) incentive structure.

Base pay is a guideline. Actual pay depends on qualifications, skill level, competencies and work location, and may change based on the role's geographic location.

Travel is up to 25% of the time.

Work personas (flexible, remote or required in office) are assigned based on the nature of the work and work location. Eligibility may be checked by a third-party service that measures the distance from your primary residence to the nearest office.

Benefits

• Health plans, including flexible spending accounts.
• 401(k) plan with company match.
• ESPP.
• Matching donations.
• Flexible time away and family leave programs.