AI Saas Engineer

DocuSign DocuSign · Enterprise · San Francisco, CA +2 · IT Infrastructure & Operations

AI Engineer focused on designing and deploying autonomous AI agents to automate IT operations, resolve user/system issues, and eliminate operational tickets by building self-healing workflows. Integrates AI solutions with SaaS platforms, ensuring security and compliance. Requires experience in AI/ML engineering, automation, LLMs, RAG, and security.

What you'd actually do

  1. Develop agentic AI solutions
  2. Manage lifecycle workflows
  3. Utilize LLMs to enhance service delivery
  4. Contribute to the broader AI service ownership strategy, ensuring scalable and secure integrations

Skills

Required

  • AI/ML engineering
  • IT automation
  • SaaS development
  • agentic AI frameworks
  • workflow automation
  • intelligent IT service management
  • LLMs
  • RAG pipelines
  • Python
  • Java
  • embedding security and compliance controls into AI or automation solutions
  • IT operations
  • incident management
  • ticketing systems
  • Agile
  • DevOps
  • CI/CD practices
  • containerization
  • orchestration technologies
  • Docker
  • Kubernetes

Nice to have

  • AI/ML frameworks
  • multi-agent orchestration platforms
  • front-end AI application entry points
  • chatbots
  • copilots
  • self-service portals
  • prompt engineering
  • designing effective prompt strategies for LLMs
  • cloud providers (AWS, Azure, GCP)
  • SaaS integration patterns
  • zero-trust
  • security monitoring in SaaS and IT environments
  • Certifications in AI, cloud computing, or ITSM platforms
  • coaching
  • online courses
  • education reimbursements

What the JD emphasized

  • security-first mindset
  • security and compliance
  • security and compliance controls

Other signals

  • designing and deploying autonomous AI agents
  • eliminate EUS operational tickets by building self-healing workflows
  • integrate AI solutions with SaaS platforms
  • reduce manual intervention