Head of Engineering, AI Safety Services

Head of Engineering, AI Safety Services
Enable responsible AI innovation at the speed of progress.

The impact youll make

• Accelerate responsible innovation by providing world-class AI safety services that allow our customers to quickly deploy new models and applications without compromising on safety.
• Influence the industry by establishing best practices, scalable tools, and clear benchmarks that set the standard for AI safety.
• Drive customer success through tools and platforms that integrate seamlessly into customer workflows, enabling safe and rapid innovation.

What youll do

• Lead and inspire your team (AI engineers, platform engineers, and a product manager):
  • Set clear goals, mentor team members, and foster a culture of impact, collaboration, and rapid learning.
  • Implement agile processes that prioritize speed without sacrificing quality or security.

• Collaborate closely with customers to understand and address their AI safety challenges:
  • Engage directly with customer teams to understand their innovation objectives, pain points, and safety requirements.
  • Translate customer needs into actionable roadmaps aligned with their innovation cycles.

• Deliver tools and services that ensure AI applications are aligned, robust, interpretable, and safe:
  • Oversee the development of platforms for alignment assessments, adversarial testing, drift detection, and interpretability analysis.
  • Make informed build vs. buy decisions to optimize speed and customer integration.

• Champion engineering excellence in a high-stakes environment:
  • Establish and enforce secure coding practices, automation, monitoring, and infrastructure-as-code.
  • Ensure system reliability through defined SLAs, SLOs, rigorous testing, and clear operational dashboards.

• Continuously innovate within AI safety methodologies:
  • Keep current with cutting-edge research in AI safety, adversarial testing, and model evaluation.
  • Pilot emerging techniques that enhance our offerings and accelerate customer deployments.

Experiences you'll bring

• 5+ years of experience in software engineering, with at least 2 years managing technical teams or complex projects.
• Proven track record delivering AI, ML, or data-intensive platforms or services (e.g., model evaluation platforms, MLOps systems, AI safety tools).
• Demonstrated success in team leadership, coaching, and talent development.
• Excellent cross-functional collaboration and communication skills, bridging technical concepts with customer value.

Technical skills you'll need

• Proficiency with common software languages, frameworks, and tools such as Python, TensorFlow, PyTorch, Docker, Kubernetes, JavaScript, HTML/CSS, REST APIs, and SQL/noSQL databases
• Expertise with cloud environments such as AWS, GCP, or Azure.
• Familiarity with LLM architectures, including evaluation techniques, prompt engineering, and adversarial testing methodologies.

Nice to have: exposure to platforms like LangChain, LangGraph; experience with distributed systems (Spark/Flink); familiarity with AI regulatory frameworks or secure deployment standards (e.g., SOC 2, ISO 27001).

Why youll love this role

• Enjoy the freedom to work from anywhere your productivity, your environment
• Purpose-driven work: Contribute meaningfully to a safer AI future while enabling groundbreaking innovation.
• Strategic visibility: Directly impact high-profile AI safety initiatives with industry-leading customers.
• Growth opportunities: Collaborate with top-tier AI talent and help shape an emerging industry.
• Supportive culture: Enjoy competitive compensation, flexible work arrangements, and significant investment in your professional and personal growth.