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.
