VP - Head of Engineering - AI Safety Services

Empowering responsible AI innovation at the speed of progress

We are seeking a transformational engineering leader to build and scale our AI Safety Services organization. This role will be at the forefront of shaping how enterprises deploy advanced AI models safely, responsibly, and with confidence—without slowing innovation.

The Impact You Will Drive

• Accelerate responsible AI adoption

   by delivering world-class safety services that enable customers to launch next-generation models and applications at scale.
• 
  

• Influence industry standards

   by establishing best-in-class methodologies, tools, and benchmarks that define how safe AI systems are built and evaluated.
• 
  

• Supercharge customer outcomes

   through seamless platforms and workflows that balance speed, trust, and model accountability.

What You'll Lead & Deliver

People & Leadership

• Build, coach, and inspire a high-performing team of AI engineers, platform engineers, and product leaders
• 
  
• Foster a culture grounded in impact, innovation, security, and rapid learning
• 
  
• Establish agile practices that drive velocity without compromising safety or quality

Customer & Product Partnership

• Work directly with enterprise customers to deeply understand use cases, risks, and innovation priorities
• 
  
• Translate customer insight into technical roadmaps aligned with fast-paced AI adoption cycles
• 
  
• Advocate for customer-centric engineering and measurable business value

AI Safety Platforms & Capabilities

• Oversee delivery of platforms for model alignment evaluation, adversarial testing, drift detection, and interpretability
• 
  
• Drive architecture decisions, including build-vs-buy strategies, tool integrations, and ecosystem collaboration
• 
  
• Define and enforce engineering best practices—secure coding, observability, IaC, automation, SLAs/SLOs

Innovation & Thought Leadership

• Stay ahead of cutting-edge AI safety research, regulatory evolution, and adversarial trends
• 
  
• Pilot emerging techniques and frameworks that enhance model reliability, security, and trust
• 
  
• Build IP and reusable assets that scale customer adoption and platform maturity

What You Bring

• 15+ years in software engineering with 10+ years leading high-impact technical teams or programs
• 
  
• Proven experience delivering AI/ML or large-scale data platforms (MLOps, model eval systems, AI safety tooling a plus)
• 
  
• Strong leadership track record in talent development, mentoring, and high-trust culture building
• 
  
• Ability to translate deep technical concepts into business impact and customer value

Technical Expertise

• Hands-on experience with Python, TensorFlow/PyTorch, containerization (Docker, Kubernetes), APIs, and data systems (SQL/NoSQL)
• 
  
• Experience operating in cloud environments (AWS, Azure, GCP)
• 
  
• Familiarity with LLMs, prompt evaluation, adversarial testing, and model interpretability
• 
  
• Bonus: LangChain/LangGraph, distributed systems (Spark/Flink), SOC2/ISO27001, AI governance frameworks