Head of Engineering - AI Safety Services

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., Spark, Flink).

- Knowledge of AI regulatory frameworks (e., SOC 2, ISO 27001).