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Head of Engineering - AI Safety Services

Head of Engineering - AI Safety Services

TheThreeAcrossDelhi, IN
24 days ago
Job type
  • Remote
Job description

Role Overview : Head of Engineering AI Safety Services.

Location : Anywhere in India.

Work Mode : Remote.

Interview Mode : Virtual Face-to-Face.

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 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.
  • Make strategic build-vs-buy decisions to accelerate customer success.

    • Engineering Excellence :

  • Implement and enforce best practices in secure coding, automation, monitoring, and 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., Spark, Flink).
  • Knowledge of AI regulatory frameworks (e., SOC 2, ISO 27001).

    • (ref : hirist.tech)

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    Head Of Engineering • Delhi, IN