Docusign-posted 10 days ago
$45 - $66/Yr
Full-time • Mid Level
Hybrid • San Francisco, CA
5,001-10,000 employees

As an AI Agentic Engineer on the End User Services team, you will drive the next wave of automation in IT operations. This role is crucial for leveraging cutting-edge Artificial Intelligence (AI) and automation technologies to transform and scale our end-user support experience. You will be responsible for developing, deploying, and maintaining AI-driven tools, such as intelligent chatbots and autonomous support agents, to improve efficiency and user satisfaction across the organization. You will partner across IT, security, and business teams to build secure, compliant, and scalable AI-driven workflows that improve employee experience and safeguard our IT enterprise environment. This position is an individual contributor role reporting to the Director, IT Operations.

  • Develop and deploy agentic AI solutions that autonomously resolve common EUS operations tickets (service requests, incidents, and routine tasks) using framework like Crew AI or Vertex AI
  • Integrate AI agents with SaaS and IT platforms to drive self-healing and auto-remediation capabilities
  • Embed security-first principles into every agentic workflow to ensure compliance and protection of corporate assets
  • Monitor, troubleshoot, and optimize the performance of existing AI and automation systems to ensure reliability, accuracy, and high availability (Tier 2/3 level support for automation tools)
  • Partner with EUS Engineering, Security, and IT platform teams to identify and implement high-impact automation opportunities which includes analyzing support tickets and user friction points to develop AI-driven self-service and proactive support solutions, ultimately reducing resolution times and enhancing the user experience
  • Design, develop, document, and implement AI-powered automation solutions (e.g., conversational AI, robotic process automation (RPA), agentic workflows) specifically for IT Help Desk and End-User Support processes
  • Stay current with GenAI, agent frameworks, and IT automation trends to continuously expand adoption
  • Contribute to the broader AI service ownership strategy, ensuring scalability, reliability, and secure integration across the IT ecosystem
  • Bachelor’s degree in Computer Science, Engineering, or related field with 2+ years of experience, OR Master’s degree with 3+ years of experience
  • 2+ years of experience in AI/ML engineering, IT automation, or SaaS development
  • Experience with agentic AI frameworks, workflow automation, or intelligent IT service management
  • Experience working with LLMs, vector databases and integrating RAG pipelines into enterprise solutions
  • Experience in one or more scripting/programming languages (e.g., Python, Java)
  • Experience embedding security and compliance controls into AI or automation solutions
  • Experience with IT operations, incident management, and ticketing systems
  • Experience with Agile, DevOps, and CI/CD practices
  • Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)
  • Experience with AI/ML frameworks and multi-agent orchestration platforms
  • Experience in developing, designing or integrating front-end AI application entry points (e.g., chatbots, copilots, self-service portals) for end-user interaction
  • Ability to present proof of concepts effectively: Adequate frontend, backend, and DevOps experience to rapidly build and demonstrate agentic AI solution
  • Familiarity with zero-trust and security monitoring in SaaS and IT environments
  • Track record of reducing operational burden via automation or agentic AI
  • Certifications in AI, cloud computing, or ITSM platforms (e.g., Service Now)
  • Demonstrable experience in prompt engineering and designing effective prompt strategies for LLMs
  • Experience with cloud providers (AWS, Azure, GCP) and SaaS integration patterns
  • Strong collaboration skills with IT, security, and business stakeholders
  • Ability to drive innovation and adoption of agentic automation at scale, with experience with data analysis and reporting to measure the impact of automation efforts
  • Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance.
  • Paid Time Off: earned time off, as well as paid company holidays based on region
  • Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement
  • Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment
  • Retirement Plans: select retirement and pension programs with potential for employer contributions
  • Learning and Development: options for coaching, online courses and education reimbursements
  • Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events
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