Chief Engineer of Responsible AI

2 days ago

Kottayam, Kerala, India beBeeInnovation Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Lead AI Safety Services

We are seeking a seasoned engineering leader to spearhead our efforts in building cutting-edge AI safety services and platforms.

This role offers an exceptional opportunity for an experienced professional to lead the design, development, and delivery of innovative solutions that drive responsible AI innovation.

The ideal candidate will possess a strong background in coaching and talent development, as well as excellent communication and cross-functional collaboration skills.

  • Mission:
    • Drive the future of responsible AI innovation by leading the design, development, and delivery of cutting-edge AI safety services and platforms.
  • 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.

Qualifications & Experience:

Must-Have 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

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 Skills:

  • 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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