AI Safety Lead

2 weeks ago

Ellore, Andhra Pradesh, India beBeeResponsible Full time ₹ 25,00,000 - ₹ 35,00,000

Job Overview: AI Safety Engineer – Leading Innovation

Location: India

Work Mode: Remote

Interview Mode: Virtual Face-to-Face

Mission:

Prioritize responsible AI innovation by overseeing the design, development, and delivery of cutting-edge AI safety services and platforms.

Key Responsibilities:

  • Lead and mentor a cross-functional team of engineers to create and maintain AI safety tools.
  • 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 Approach:

  • Partner closely with clients to understand their AI safety needs and challenges.
  • 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:

  • 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).

Achieve scalable and responsible AI innovation by leading the creation of AI safety tools and platforms.

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