AI SaaS Engineer
$119,100–$184,700 year
HybridSan Francisco, California, United States or Seattle, Washington, United States
Job Summary
Design and deploy autonomous AI agents that proactively resolve user and system issues, eliminating EUS operational tickets through self-healing workflows. Integrate AI solutions with SaaS platforms to ensure security and compliance across the enterprise while collaborating with IT and security teams to drive continuous improvement in automation. Utilize LLMs to enhance service delivery and contribute to the broader AI service ownership strategy, focusing on scalable and secure integrations. This individual contributor role reports to the Senior Manager, Cloud Apps, with a hybrid schedule requiring minimum two days of in-office presence weekly.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field with 5+ years of experience
- Master's degree with 3+ years of experience
- 3+ years of experience in AI/ML engineering, IT automation, or SaaS development
- Experience in agentic AI frameworks, workflow automation, or intelligent IT service management
- Experience working with LLMs 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)
- Access to an office location is required
- Minimum 2 days per week in-office expectation
Desired Qualifications
- 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 solutions
- 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
- 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
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.