<p><p><b>Location :</b> Anywhere in India.<br/><br/><b>Work Mode :</b> Remote.<br/><br/><b>Interview Mode :</b> Virtual Face-to-Face.<br/><br/><b>Mission :</b></p><p><p><b><br/></b></p>Drive the future of responsible AI innovation by leading the design, development, and delivery of cutting-edge AI safety services and platforms.<br/><br/><b>Key Responsibilities :</b><br/><br/><b>Team Leadership & Strategy :</b></p><p><p><b><br/></b></p>- Lead and mentor a cross-functional team of AI engineers, platform engineers, and a product manager.<br/><br/></p><p>- Set clear goals, promote collaboration, and cultivate a culture of impact and rapid learning.<br/><br/></p><p>- Implement agile processes to ensure speed, security, and quality in Innovation :</b></p><p><p><b><br/></b></p>- Partner closely with clients to understand their AI safety goals, challenges, and integration needs.<br/><br/></p><p>- Translate customer requirements into actionable roadmaps aligned with innovation cycles.<br/><br/><b>Platform Development & Delivery :</b></p><p><p><b><br/></b></p>- Oversee the creation of tools for :</p><p><br/>1.
Alignment assessment.<br/><br/></p><p>2.
Adversarial testing.<br/><br/></p><p>3.
Drift detection.<br/><br/></p><p>4.
Interpretability analysis.<br/><br/></p><p>- Make strategic build-vs-buy decisions to accelerate customer success.<br/><br/><b>Engineering Excellence :</b></p><p><p><b><br/></b></p>- Implement and enforce best practices in secure coding, automation, monitoring, and Maintain high system reliability through SLAs/SLOs, rigorous testing, and operational dashboards.<br/><br/><b>Continuous Innovation :</b></p><p><p><b><br/></b></p>- Stay updated on advancements in AI safety, model evaluation, and adversarial robustness.<br/><br/></p><p>- Pilot and integrate emerging techniques to improve AI deployment speed and safety.<br/><br/><p><b>Qualifications & Experience : </b></p><p><br/><b>Must-Have :</b></p></p><p><b><br/></b>- 5+ years in software engineering, including 2+ years in a leadership role.<br/><br/></p><p>- Proven experience delivering AI/ML or data-intensive platforms.<br/><br/></p><p>- Strong background in coaching and talent development.<br/><br/></p><p>- Excellent communication and cross-functional collaboration skills.<br/><br/><b>Technical Proficiency :</b></p><p><p><b><br/></b></p>- Languages/Frameworks : Python, TensorFlow, PyTorch, JavaScript, HTML/CSS.<br/><br/></p><p>- Tools : Docker, Kubernetes, REST APIs, SQL/NoSQL databases.<br/><br/></p><p>- Cloud Platforms : AWS, GCP, or Azure.<br/><br/></p><p>- Understanding of LLMs, prompt engineering, and adversarial testing.<br/><br/><b>Nice to Have :</b></p><p><p><b><br/></b></p>- Familiarity with LangChain, LangGraph.<br/><br/></p><p>- Experience with distributed systems (e.g., Spark, Flink).<br/><br/></p><p>- Knowledge of AI regulatory frameworks (e.g., SOC 2, ISO 27001).</p><br/></p> (ref:hirist.tech)