Head of Engineering

Head of Engineering, AI Safety Services

Enable responsible AI innovation at the speed of progress.

The impact you’ll 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 you’ll 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

- 12+ years of experience in software engineering, with at least 5 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.

Preferred technical experience: 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 you’ll love this role

- 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.

Ready to ensure AI moves fast—and stays safe?

Join us and shape the future of responsible AI innovation.