SailPoint Logo

SailPoint

Staff AI Engineer

Job Posted 3 Days Ago Posted 3 Days Ago
Be an Early Applicant
Remote
Hybrid
Hiring Remotely in United States
144K-268K Annually
Senior level
Remote
Hybrid
Hiring Remotely in United States
144K-268K Annually
Senior level
As a Staff AI Engineer at SailPoint, you will design and deploy AI solutions focused on Generative AI and autonomous systems, collaborating with cross-functional teams. You'll build and evaluate prototypes, optimize AI pipelines, and lead the development of new capabilities, aligning with the company's core product lines and driving innovation in identity governance.
The summary above was generated by AI

Job Title: Staff AI Engineer

About SailPoint:

SailPoint is the leader in identity security for the cloud enterprise. Our identity security solutions secure and enable thousands of companies worldwide, giving our customers unmatched visibility into the entirety of their digital workforce and ensuring that workers have the right access to do their job—no more and no less.

Built on a foundation of AI and ML, our Identity Security Cloud Platform delivers the right level of access to the right identities and resources at the right time—matching the scale, velocity, and changing needs of today’s cloud-oriented, modern enterprise.

About the role:

As an AI Engineer, you will collaborate closely with cross-functional teams to design, develop, and deploy cutting-edge AI solutions with a focus on Generative AI and autonomous systems. This role requires a strong foundation in ML engineering, along with experience building applications with FMs and related concepts such as RAG, fine-tuning, agents, and distillation.

About the team:

The AI team at SailPoint applies AI and domain expertise to create AI solutions that solve real problems in identity governance. We believe the path to success is through meaningful customer outcomes, and we leverage traditional AI/ML as well as recent innovations in Generative AI and Graph ML to bring our solutions to SailPoint’s core product lines.

Roadmap to success:

90 Days

  • Deeply understand the SailPoint AI vision and Generative AI initiatives.
  • Onboard onto our AI Platform tech stack.
  • Develop or evaluate a working prototype of an AI agent using existing models/tools.

6 months:

  • Deliver or contribute to a fully functional GenAI-powered feature.
  • Optimize existing AI pipelines to ensure robust training, evaluation, and deployment.
  • Collaborate with the AI and product teams to identify key use cases for GenAI.

1 year:

  • Lead the development of a new FM-based capability from ideation to deployment.
  • Drive AI innovation by rapidly incorporating advancements in FM fine-tuning, prompt engineering, agent-based systems, etc. into our product and platform.
  • Establish repeatable frameworks for evaluating GenAI and agent-based features in production, emphasizing business impact and risk mitigation.
  • Collaborate with partners to deliver thoughtful integrations between traditional ML and agent-based systems that provide a seamless and autonomous user experience.

Requirements:

  • 5+ years experience building and deploying ML models in production at scale.
  • Recent experience with Generative AI models and techniques, such as LLMs, fine-tuning, RAG, prompt engineering, guardrails, distillation, and agent frameworks.
  • Can-do attitude with a focus on delivering measurable business impact.
  • Strong technical communicator who can convey complex topics to different audiences.
  • B.S. in Computer Science, or a related field.

Tech Stack:

  • Core Programming: Python, Go
  • Cloud Platform: AWS (SageMaker, Bedrock) preferred
  • GenAI Frameworks/Tools: Any
  • Data: Snowflake, Kafka, Airflow

Benefits and Compensation listed vary based on the location of your employment and the nature of your employment with SailPoint.

As a part of the total compensation package, this role may be eligible for the SailPoint Corporate Bonus Plan or a role-specific commission, along with potential eligibility for equity participation. SailPoint maintains broad salary ranges for its roles to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect SailPoint’s differing products, industries, and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. We estimate the base salary, for US-based employees, will be in this range from (min-mid-max, USD):

$144,200 - $206,000 - $267,800

Base salaries for employees based in other locations are competitive for the employee’s home location.

Benefits Overview

1. Health and wellness coverage: Medical, dental, and vision insurance

2. Disability coverage: Short-term and long-term disability

3. Life protection: Life insurance and Accidental Death & Dismemberment (AD&D)

4. Additional life coverage options: Supplemental life insurance for employees, spouses, and children

5. Flexible spending accounts for health care, and dependent care; limited purpose flexible spending account

6. Financial security: 401(k) Savings and Investment Plan with company matching

7. Time off benefits: Flexible vacation policy

8. Holidays: 8 paid holidays annually

9. Sick leave

10. Parental support: Paid parental leave

11. Employee Assistance Program (EAP) and Care Counselors

12. Voluntary benefits: Legal Assistance, Critical Illness, Accident, Hospital Indemnity and Pet Insurance options

13. Health Savings Account (HSA) with employer contribution

SailPoint is an equal opportunity employer and we welcome everyone to our team.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Top Skills

Airflow
AWS
Bedrock
Go
Kafka
Python
Sagemaker
Snowflake

Similar Jobs at SailPoint

2 Days Ago
Remote
Hybrid
United States
Internship
Internship
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
The Enterprise Systems Intern at SailPoint assists in managing enterprise systems, troubleshoots user issues, and helps improve business processes.
Top Skills: JavaScriptJIRANetSuitePythonServicenowSlack
3 Days Ago
Remote
Hybrid
United States
67K-125K Annually
Mid level
67K-125K Annually
Mid level
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
The Technical Advocate will educate and empower the SailPoint Community by delivering high-quality education through webinars, forums, and events. Responsibilities include expert-level knowledge in Identity Security Cloud, collaborating with product teams, enhancing training materials, and promoting SailPoint as a thought leader in identity security.
3 Days Ago
Remote
Hybrid
2 Locations
129K-239K Annually
Expert/Leader
129K-239K Annually
Expert/Leader
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
The Tech Lead Software Engineer will design, develop, and maintain SaaS applications, focusing on coding practices, architecture, and documentation. Responsibilities include performing technology evaluation, collaborating with teams, mentoring peers, optimizing performance, and ensuring best practices are followed throughout the development process.

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
By clicking Apply you agree to share your profile information with the hiring company.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account