Director of Responsible AI Development

5 days ago

Hubli, Karnataka, India beBeeEngineering Full time US$ 2,00,000 - US$ 2,40,000
Engineering Innovation Leader

As an Engineering Innovation Leader, you will play a crucial role in enabling responsible AI innovation at the speed of progress.

The impact you will make:

  • Accelerate responsible innovation by providing world-class AI safety services that allow 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.

Responsibilities:

  • Lead and inspire a team of 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.
  • Collaborate closely 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.
  • Ensure system reliability through defined SLAs, SLOs, rigorous testing, and clear operational dashboards.
  • Continuously innovate within AI safety methodologies.

Requirements:

  • 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.
  • Demonstrated success in team leadership, coaching, and talent development.
  • Excellent cross-functional collaboration and communication skills.

Technical Skills:

  • 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.

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