Director of Responsible AI Systems

1 day ago

Salem, Tamil Nadu, India beBeeResponsibility Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
AI Safety Leader

Role Overview:

This role leads the design, development, and delivery of cutting-edge AI safety services and platforms.

Key Responsibilities:

  • Team Leadership & Strategy:
    • Lead a cross-functional team of AI engineers, platform engineers, and product managers to set clear goals, promote collaboration, and cultivate a culture of impact and rapid learning.
  • Customer-Centric Innovation:
    • Partner closely with clients to understand their AI safety goals, challenges, and integration needs, and 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 to 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, and pilot and integrate emerging techniques to improve AI deployment speed and safety.

Required Skills and Qualifications:

  • 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

Benefits:

This role offers the opportunity to lead the development of innovative AI safety services and platforms that drive responsible AI innovation. As AI accelerates, safety can't be an afterthought. The Head of Engineering – AI Safety Services plays a critical role in building the guardrails that let innovation move fast without breaking trust. It's not just about scaling technology — it's about scaling it responsibly.

Qualifications & Experience:

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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