AI Safety Pioneer

6 days ago


Thoothukudi, Tamil Nadu, India beBeeInnovation Full time ₹ 1,20,00,000 - ₹ 2,00,00,000
Head of Engineering - AI Safety Services

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

Key Responsibilities:
  • Lead and mentor 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 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: 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, knowledge of AI regulatory frameworks.

Responsibly accelerating technology requires building guardrails that let innovation move fast without breaking trust.



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