
Chief Technology Officer
1 day ago
We are seeking a seasoned AI Engineering Leader to drive the development and delivery of cutting-edge AI safety services and platforms. The ideal candidate will have a strong background in coaching and talent development, with proven experience delivering AI/ML or data-intensive platforms.
The successful candidate will be responsible for leading and mentoring a cross-functional team of AI engineers, platform engineers, and a product manager. They will set clear goals, promote collaboration, and cultivate a culture of impact and rapid learning. Additionally, they will implement agile processes to ensure speed, security, and quality in development.
The leader will oversee the creation of tools for alignment assessment, adversarial testing, drift detection, interpretability analysis, and make strategic build-vs-buy decisions to accelerate customer success.
Key Responsibilities:
- Team Leadership & Strategy:
- Lead and mentor a cross-functional team of AI engineers, platform engineers, and a product manager.
- Set clear goals, promote collaboration, and cultivate a culture of impact and rapid learning.
- Implement agile processes to ensure speed, security, and quality in development.
- Customer-Centric Innovation:
- Partner closely with clients to understand their AI safety goals, challenges, and integration needs.
- Translate customer requirements into actionable roadmaps aligned with innovation cycles.
- Platform Development & Delivery:
- Oversee the creation of tools for alignment assessment, adversarial testing, drift detection, interpretability analysis, and make strategic build-vs-buy decisions to accelerate customer success.
- Engineering Excellence:
- Implement and enforce best practices in secure coding, automation, monitoring, and infrastructure-as-code.
- Maintain high system reliability through SLAs/SLOs, rigorous testing, and operational dashboards.
- Continuous Innovation:
- Stay updated on advancements in AI safety, model evaluation, and adversarial robustness.
- Pilot and integrate emerging techniques to improve AI deployment speed and safety.
To succeed in this role, you must possess the following skills and qualifications:
- 5+ years in software engineering, including 2+ years in a leadership role.
- Proven experience delivering AI/ML or data-intensive platforms.
- Strong background in coaching and talent development.
- Excellent communication and cross-functional collaboration skills.
You should have proficiency in the following areas:
- Languages/Frameworks: Python, TensorFlow, PyTorch, JavaScript, HTML/CSS.
- Tools: Docker, Kubernetes, REST APIs, SQL/NoSQL databases.
- Cloud Platforms: AWS, GCP, or Azure.
- Understanding of LLMs, prompt engineering, and adversarial testing.
The following skills are desirable but not required:
- Familiarity with LangChain, LangGraph.
- Experience with distributed systems (e.g., Spark, Flink).
- Knowledge of AI regulatory frameworks (e.g., SOC 2, ISO 27001).
This is an exciting opportunity to join our team and contribute to the development of cutting-edge AI safety services and platforms. If you are passionate about innovation and committed to responsible AI development, we encourage you to apply.
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