AI Safety Innovation Lead

2 days ago

Kolkata, West Bengal, India beBeeInnovator Full time ₹ 1,56,61,920 - ₹ 2,43,94,200
Lead AI Innovation for Responsible Progress

Enable groundbreaking innovation while ensuring AI safety and efficacy.

The Impact You'll Make
  • Catalyze responsible innovation by providing world-class AI safety services that empower 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 seamless integration of safe and rapid innovation into customer workflows.
Key Responsibilities
  • Lead and inspire a high-performing 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, quality, and 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.
Experiences We Seek
  • 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 Expertise Required
  • 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.

Why You'll Thrive in This Role
  • Purpose-driven work: Contribute meaningfully to a safer AI future while enabling groundbreaking innovation.
  • Strategic visibility: Directly impact high-profile AI safety initiatives with industry-leading customers.
  • Growth opportunities: Collaborate with top-tier AI talent and help shape an emerging industry.
  • Supportive culture: Enjoy competitive compensation, flexible work arrangements, and significant investment in your professional and personal growth.

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