Sr. Systems Engineer, AI Solutions

Vanta · Enterprise · U.S. · Remote · Security

This role focuses on identifying, designing, and implementing AI-driven solutions for internal G&A functions and leading cross-functional AI initiatives. The engineer will partner with G&A leaders to improve efficiency and decision-making through AI adoption, ensuring solutions are aligned, reusable, and scalable. Responsibilities include analyzing workflows, designing/implementing AI solutions using both declarative tools and code, integrating AI into existing systems, and evaluating AI tools, while ensuring compliance, privacy, and governance.

What you'd actually do

  1. Partner with G&A teams (People, Finance, Legal, IT, Security) to identify high-impact opportunities for AI-driven improvements
  2. Analyze existing systems and workflows to uncover areas where AI can reduce toil, improve accuracy, or accelerate outcomes
  3. Design and implement AI-enabled solutions that align with functional needs and company standards
  4. Lead AI solutions that span multiple teams or apply broadly across the company (e.g., internal assistants, automation, intelligence layers)
  5. Help establish best practices and reusable patterns for internal AI development within Corporate Engineering

Skills

Required

  • 5+ years of experience in systems engineering, business systems, internal platforms, or related roles
  • Strong understanding of AI technologies and their practical application in internal systems
  • Proven ability to design scalable, maintainable solutions across multiple tools and teams
  • Comfort working with both declarative configuration (clicks) and custom development (code)
  • Strong analytical skills to identify inefficiencies and apply thoughtful AI-driven improvements
  • Ability to drive initiatives from concept through implementation with minimal oversight
  • Excellent communication skills and ability to partner effectively across G&A and company-wide stakeholders

Nice to have

  • Open to using AI to amplify their skills and strengthen their work - demonstrating curiosity, a willingness to learn, and sound judgment in applying AI responsibly to improve efficiency and impact.

What the JD emphasized

  • AI-driven improvements
  • AI can reduce toil
  • AI-enabled solutions
  • AI solutions that span multiple teams
  • internal AI development
  • AI-driven solutions
  • AI capabilities
  • AI tools and platforms
  • AI solutions meet compliance
  • AI expertise
  • apply AI responsibly

Other signals

  • identify, design, and implement AI-driven solutions across General & Administrative (G&A) functions
  • leading company-wide, cross-functional AI initiatives
  • improve operational efficiency, reduce manual work, and enable better decision-making through thoughtful AI adoption
  • ensure internal AI solutions are aligned, reusable, and scalable
  • Build and configure AI-driven solutions using a mix of declarative (clicks-based) tools and custom development (code)
  • Integrate AI capabilities into existing internal systems
  • Evaluate and recommend AI tools and platforms