Senior Leader of AI Innovation

1 day ago

Bharatpur, Rajasthan, India beBeeEngineering Full time ₹ 2,00,00,000 - ₹ 3,00,00,000
Job Title

Head of Engineering, AI Safety Services

Enable responsible AI innovation at the speed of progress.

The impact you'll make:

  • Accelerate responsible innovation by providing world-class AI safety services that allow our customers to quickly deploy new models and applications without compromising on safety.
  • Influence the industry by establishing best practices, scalable tools, and clear benchmarks that set the standard for AI safety.
  • Drive customer success through tools and platforms that integrate seamlessly into customer workflows, enabling safe and rapid innovation.

What You Will Do

  • Lead and inspire your team (AI engineers, platform engineers, and a product manager):
  • Set clear goals, mentor team members, and foster a culture of impact, collaboration, and rapid learning.
  • Implement agile processes that prioritize speed without sacrificing quality or security.
  • Closely collaborate with customers to understand and address their AI safety challenges:
  • Engage directly with customer teams to understand their innovation objectives, pain points, and safety requirements.
  • Translate customer needs into actionable roadmaps aligned with their innovation cycles.
  • Deliver tools and services that ensure AI applications are aligned, robust, interpretable, and safe:
  • Oversee the development of platforms for alignment assessments, adversarial testing, drift detection, and interpretability analysis.
  • Make informed build vs. buy decisions to optimize speed and customer integration.
  • Champion engineering excellence in a high-stakes environment:
  • Establish and enforce secure coding practices, automation, monitoring, and infrastructure-as-code.
  • Evaluate system reliability through defined SLAs, SLOs, rigorous testing, and clear operational dashboards.
  • Continuously innovate within AI safety methodologies:
  • Maintain current with cutting-edge research in AI safety, adversarial testing, and model evaluation.
  • Pilot emerging techniques that enhance our offerings and accelerate customer deployments.

Experiences You'll Bring

  • 12+ years of experience in software engineering, with at least 5 years managing technical teams or complex projects.
  • Proven track record delivering AI, ML, or data-intensive platforms or services (e.g., model evaluation platforms, MLOps systems, AI safety tools).
  • Demonstrated success in team leadership, coaching, and talent development.
  • Excellent cross-functional collaboration and communication skills, bridging technical concepts with customer value.

Technical Skills You'll Need

  • Proficiency with common software languages, frameworks, and tools such as Python, TensorFlow, PyTorch, Docker, Kubernetes, JavaScript, HTML/CSS, REST APIs, and SQL/noSQL databases.
  • Expertise with cloud environments such as AWS, GCP, or Azure.
  • Familiarity with LLM architectures, including evaluation techniques, prompt engineering, and adversarial testing methodologies.

Preferred Technical Experience: Exposure to platforms like LangChain, LangGraph; experience with distributed systems (Spark/Flink); familiarity with AI regulatory frameworks or secure deployment standards (e.g., SOC 2, ISO 27001).

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