Chief AI Innovation Officer

2 weeks ago

Tirupati, Andhra Pradesh, India beBeeEngineering Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Lead AI Innovation Forward

Drive the advancement of responsible AI at a rapid pace.

  • Prioritize and expedite AI safety services for customers, ensuring seamless deployment of new models and applications without compromising on safety.
  • Establish industry benchmarks and best practices through scalable tools and clear guidelines that set the standard for AI safety.
  • Optimize customer success by integrating safe and rapid innovation into customer workflows through intuitive tools and platforms.

The impact you'll make:

  • Enable accelerated responsible innovation by providing world-class AI safety services that allow customers to deploy new models and applications quickly 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.

Key Responsibilities:

  • Lead and inspire a team of AI engineers, platform engineers, and product managers:
    • 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:
    • Keep current with cutting-edge research in AI safety, adversarial testing, and model evaluation.
    • Pilot emerging techniques that enhance our offerings and accelerate customer deployments.

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 (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:

  • 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.

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