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Staff Software Gen AI Engineer

Staff Software Gen AI Engineer

CompanyServiceNow
LocationSan Diego, CA, USA
Salary$147300 – $257800
TypeFull-Time
Degrees
Experience LevelSenior, Expert or higher

Requirements

  • Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry.
  • 8+ years of software development experience with a solid foundation in system design and cloud engineering.
  • Experience in building enterprise applications on the ServiceNow platform, including scripting, Flow Designer, and Integration Hub.
  • Strong familiarity with AIA Studio for creating intelligent, no/low-code automation flows integrated with AI.
  • Hands-on experience with AI technologies: Agentic AI (LangGraph, AutoGen, CrewAI, or similar), RAG frameworks (LangChain, Haystack), Knowledge Graphs (RDF/OWL, SPARQL).
  • Strong programming skills in Python, Java, or JavaScript.
  • Experience with cloud platforms (Azure, AWS, or GCP) and LLM APIs (OpenAI, Anthropic, Mistral, etc.).
  • Understanding of vector databases and embeddings.
  • Experience working with GTM domains (CRM, customer engagement, marketing automation, sales analytics).

Responsibilities

  • Develop scalable and maintainable applications and workflows within the ServiceNow platform, aligning with GTM use cases (e.g., sales enablement, lead management, partner ops).
  • Leverage AIA Studio to orchestrate AI workflows, integrate machine learning models, and streamline decision-making in GTM processes.
  • Design AI-powered systems that use LLMs, Agentic AI, and semantic retrieval to deliver contextual insights and automation.
  • Build and maintain RAG pipelines enriched with Knowledge Graphs to surface relevant, real-time data to sales to help close the deal.
  • Implement AI agents capable of task planning and execution (e.g., lead routing, customer scoring, higher deal velocity).
  • Work closely with Product, Business Operations to identify opportunities, design solutions, and deliver measurable impact.
  • Build resilient, secure, and high-performance systems using industry best practices.
  • Contribute to team success through mentorship, design discussions, and by setting high standards for code quality and innovation.

Preferred Qualifications

    No preferred qualifications provided.