AI Safety Service Leader

4 days ago

Kozhikode, Kerala, India beBeeEngineering Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Overview:

As a key member of our engineering team, the Head of Engineering – AI Safety Services plays a pivotal role in driving the future of responsible AI innovation. This leader will be responsible for designing, developing, and delivering 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. They will also possess excellent communication and cross-functional collaboration skills.

Key Responsibilities:
  • Team Leadership & Strategy:
    • Mentor and lead a cross-functional team of AI engineers, platform engineers, and product managers.
    • Cultivate a culture of impact and rapid learning by setting clear goals and promoting collaboration.
    • 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.
    Qualifications & Experience:
    • 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).

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