Chief AI Safety Architect

1 day ago

Bareilly, Uttar Pradesh, India beBeeInnovation Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Job Overview: AI Safety Engineering Leader

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

  • Team Leadership & Strategy:
    • Lead a cross-functional team of AI engineers, platform engineers and product managers.
    • 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 with clients to understand AI safety goals, challenges and integration needs.
    • Translate customer requirements into actionable roadmaps aligned with innovation cycles.
  • Platform Development & Delivery:
    • Oversee creation of tools for alignment assessment, adversarial testing, drift detection, interpretability analysis and strategic build-vs-buy decisions.
  • Engineering Excellence:
    • Implement 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 emerging techniques to improve AI deployment speed and safety.
    Requirements and QualificationsMust-Have:
    • 5+ years software engineering experience, including 2+ years 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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