AI Safety Architect

1 day ago

Vijayawada, Andhra Pradesh, India beBeeResponsibility Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Lead the AI Safety Revolution

We're looking for a seasoned leader to helm our AI safety services. As Head of Engineering, you'll spearhead the design, development, and delivery of cutting-edge platforms that safeguard innovation.

Key Responsibilities:

  • Strategic Team Leadership:
    • Leverage your expertise to drive cross-functional teams toward impact-driven goals.
    • Mentor AI engineers, platform engineers, and product managers in agile processes.
  • Customer-Centric Innovation:
    • Cultivate deep partnerships with clients to distill their AI safety needs.
    • Translate these requirements into actionable roadmaps that harmonize innovation cycles.
  • Platform Development & Delivery:
    • Oversight of tool creation for alignment assessment, adversarial testing, drift detection, interpretability analysis, and strategic build-vs-buy decisions.
  • Engineering Excellence:
    • Promote secure coding best practices, automation, monitoring, and infrastructure-as-code within the team.
    • Guarantee system reliability through SLAs/SLOs, rigorous testing, and operational dashboards.
  • Continuous Innovation:
    • Stay abreast of advancements in AI safety, model evaluation, and adversarial robustness.
    • Pilot emerging techniques to enhance AI deployment speed and safety.

Requirements:

  • 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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