Chief AI Innovation Officer

3 days ago

Gandhinagar, Gujarat, India beBeeAI Full time ₹ 25,01,600 - ₹ 30,24,000
Engineering Leadership in AI Safety Services

We are seeking a seasoned Engineering Leader to drive responsible innovation at the speed of progress.

The Impact You Will Make
  • You will accelerate responsible innovation by providing world-class AI safety services that enable customers to quickly deploy new models and applications without compromising on safety.
  • You will influence the industry by establishing best practices, scalable tools, and clear benchmarks that set the standard for AI safety.
  • You will drive customer success through tools and platforms that integrate seamlessly into customer workflows, enabling safe and rapid innovation.
Key Responsibilities
  • Lead and inspire your team:
    • 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:
    • 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 and Qualifications
  • 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.
Tech Skills and Tools

You will 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.

Familiarity with cloud environments such as AWS, GCP, or Azure is also required.

Experience with distributed systems (Spark/Flink) and AI regulatory frameworks or secure deployment standards (e.g., SOC 2, ISO 27001) is preferred.

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