Principal AI Machine Learning Engineer

Insight Global; San Jose (CA); Hybrid; USD 225,000 - 245,000; Full time

Job summary

Insight Global is seeking a Principal AI/ML Engineer to lead strategy and architecture for defending base models from misuse, including jailbreaks and policy violations. You will drive safety interventions, evaluation workflows, and tooling across AI safety systems in a production environment.

The role requires 7+ years in ML, 3+ years in technical leadership, and extensive LLM experience, with the position based on-site/hybrid in San Jose, CA. Base salary ranges from $225,000 to $245,000.

Qualifications

• Degree in CS/ML or related field
• 7+ years in applied machine learning or AI infrastructure
• 3+ years in senior/principal/leadership role
• Extensive experience with LLMs — design, training, methodology
• Experience developing or evaluating safety interventions for LLMs

Responsibilities

• Define technical strategy and architecture for AI safety defenses
• Lead architectural decisions across AI safety systems and tooling
• Develop and integrate evaluation workflows for model safety
• Build core infrastructure to ensure safe and responsible production AI systems

Skills

Advanced ML engineering

LLMs

Leadership experience

Safety interventions for LLMs

Applied machine learning

Education

Bachelor’s/Master’s/PhD in CS/ML or related

Job description

Job Description

A global technology client of Insight Global is seeking a Principal AI/ML Engineer to join their team. This company specializes in high-performance application delivery, network security, and AI-ready infrastructure solutions for enterprises, service providers, and government organizations.

This individual will lead the technical strategy and architecture for protecting foundation models against misuse—such as jailbreaks, prompt injection, toxic outputs, and custom policy violations. In this role, you’ll apply your expertise in scalable systems design, applied machine learning, and model-level defenses to build core infrastructure that ensures AI systems behave safely and responsibly in production. You’ll set technical direction and drive architectural decisions across a broad surface area of AI safety systems—designing safety interventions, integrating evaluation workflows, and developing models and tooling that detect and prevent harmful or non-compliant behavior.

This role is permanent and will be worked hybrid on-site in San Jose, CA. We are looking to pay between $225,000-$245,000 base salary.

Skills and Requirements

• Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, or a related field
• 7+ years of experience in applied machine learning or AI infrastructure
• 3+ years of experience in a senior, staff, principal, or equivalent technical leadership role
• Extensive experience with LLMs - design, training, methodology, etc.
• Experience developing, implementing, or evaluating safety interventions for LLMs

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [e-mail].