Senior Staff Machine Learning Engineer, Agentic Application
Job description
Senior Staff Machine Learning Engineer, Agentic Application at ServiceNow.
About the role
You will design and implement Agentic AI features to automate complex business tasks for enterprise users. This role involves building conversational and web-based interfaces that allow users to interact with business systems through natural language. You will work within a specialized team to scale AI solutions and influence product strategy.
Key facts
What you'll do
- Collaborate with conversational framework experts to integrate new AI capabilities into product features.
- Partner with product management, user experience, and go-to-market teams to define and validate project requirements.
- Architect and build scalable engineering implementations for Agentic AI applications.
- Analyze user feedback and system patterns to refine the underlying AI framework.
- Lead technical projects and mentor other engineers to ensure successful end-to-end delivery.
Requirements
- Bachelor degree or higher in computer science or a related field.
- 10+ years of professional experience in developing scalable systems.
- Proven ability to lead technical projects and guide engineering teams.
- Strong product intuition with a focus on web or conversational user interfaces.
- Excellent communication and cross-functional collaboration skills.
- Base pay range of $201,300 to $352,300, plus equity, variable compensation, and benefits.
Skills & tools
- Agentic AI frameworks
- Large Language Models (LLM)
- Conversational UI development
- Scalable system architecture
Practical notes
Compensation is determined by geographic location and individual qualifications. Benefits include health plans, flexible spending accounts, 401(k) with company match, ESPP, matching donations, and family leave programs. Employment is subject to export control regulations where applicable. ServiceNow is an equal opportunity employer and provides reasonable accommodations for the application process via globaltalentss@servicenow.com.