
Innovation Leader – AI Safety Services
3 days ago
We are seeking an exceptional leader to head our AI Safety Services team. As a key member of our organization, you will play a critical role in building the guardrails that enable innovation to move fast without compromising trust.
This is an opportunity to make a lasting impact on the development and delivery of cutting-edge AI safety services and platforms.
Key Responsibilities- Team Leadership & Strategy
- Lead and mentor a cross-functional team of engineers and product managers to drive results-oriented innovation.
- Set clear goals, promote collaboration, and foster 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 needs, challenges, and integration requirements.
- Translate customer needs 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 other strategic initiatives.
- Maintain high system reliability through SLAs/SLOs, rigorous testing, and operational dashboards.
- Engineering Excellence
- Implement and enforce best practices in secure coding, automation, monitoring, and infrastructure-as-code.
- Stay updated on advancements in AI safety, model evaluation, and adversarial robustness.
- Continuous Innovation
- Pilot and integrate emerging techniques to improve AI deployment speed and safety.
- Must-Have
- 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.
- Technical Proficiency
- 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.
- Nice to Have
- Familiarity with LangChain, LangGraph.
- Experience with distributed systems (e.g., Spark, Flink).
- Knowledge of AI regulatory frameworks (e.g., SOC 2, ISO 27001).
This role requires a unique blend of technical expertise, business acumen, and leadership abilities. If you are passionate about driving responsible AI innovation, we encourage you to apply.
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