AI Safety Architect

5 days ago

Mysore, Karnataka, India beBeeResponsibility Full time ₹ 15,50,000 - ₹ 21,50,000
Head of Engineering
A senior leadership position responsible for overseeing the development and delivery of cutting-edge AI safety services and platforms.

About This Role:
This is a key leadership position that will play a critical role in building the guardrails that let innovation move fast without breaking trust. The Head of Engineering – AI Safety Services will be responsible for driving the future of responsible AI innovation by leading the design, development, and delivery of AI safety services and platforms.

Key Responsibilities:
  • Team Leadership & Strategy:
    • Lead and mentor a cross-functional team of AI engineers, platform engineers, and product managers.
    • Set clear goals, promote collaboration, and cultivate a culture of impact and rapid learning.
    • Implement agile processes to ensure speed, security, and quality in development.
  • Customer-Centric Innovation:
    • Partner closely with clients to understand their AI safety goals, challenges, and integration needs.
    • Translate customer requirements into actionable roadmaps aligned with innovation cycles.
  • Platform Development & Delivery:
    • Oversee the creation of tools for alignment assessment, adversarial testing, drift detection, interpretability analysis, and make strategic build-vs-buy decisions to accelerate customer success.
  • Engineering Excellence:
    • Implement and enforce best practices in secure coding, automation, monitoring, and infrastructure-as-code.
    • Maintain high system reliability through SLAs/SLOs, rigorous testing, and operational dashboards.
  • Continuous Innovation:
    • Stay updated on advancements in AI safety, model evaluation, and adversarial robustness.
    • Pilot and integrate emerging techniques to improve AI deployment speed and safety.

Qualifications & Experience:

The ideal candidate should have 5+ years in software engineering, including 2+ years in a leadership role, with proven experience delivering AI/ML or data-intensive platforms. Strong background in coaching and talent development, excellent communication and cross-functional collaboration skills are required. Familiarity with languages/frameworks such as Python, TensorFlow, PyTorch, JavaScript, HTML/CSS, Docker, Kubernetes, REST APIs, SQL/NoSQL databases, cloud platforms like AWS, GCP, or Azure, and understanding of LLMs, prompt engineering, and adversarial testing are desirable.


Become a Leader in AI Safety:
In this role, you will have the opportunity to work at the forefront of AI innovation and make a meaningful impact on the future of technology. You will be part of a team that is dedicated to creating safe and responsible AI solutions that benefit society as a whole.

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