Senior 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):

$119,400 - $170,500 - $221,700

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