AI Safety Leadership Role

18 hours ago

Nagpur, Maharashtra, India beBeeInnovation Full time US$ 16,00,000 - US$ 20,00,000
Chief AI Safety Officer

We are seeking an accomplished Chief AI Safety Officer to drive our mission of enabling responsible AI innovation. This role requires a seasoned leader with extensive experience in software engineering, technical team management, and complex project delivery.

Key Responsibilities
  • Lead and inspire a high-performing team:
    • 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.
Requirements
  • 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.
  • 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.
What We Offer
  • A competitive compensation package.
  • Opportunities for professional growth and development.
  • A dynamic and collaborative work environment.

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