Head of Engineering

2 days ago

India Three Across Full time

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 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
  • 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)

As AI accelerates, safety can't be an afterthought. The Head of Engineering – AI Safety Services plays a critical role in building the guardrails that let innovation move fast without breaking trust. It's not just about scaling technology — it's about scaling it responsibly .

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