AI Architect

<p> <strong>Join Envalior – Imagine The Future!</strong></p><p> </p><p>Are you passionate about <strong>pioneering change</strong> in a constantly evolving environment? At Envalior, we are seeking a talented <strong>AI Architect</strong> to join our dynamic <strong>Data Enablement and AI Team </strong>and <strong>build the secure, scalable, and future‑proof AI foundation that will enable Envalior’s global digital transformation</strong>.</p><p> </p><p>At Envalior, the future of high‑performance materials isn't just being shaped; it's being pioneered. A belief in fostering an environment where every voice is heard and ideas are valued is integral to our culture. Empowerment is the driving force behind our pioneering spirit, allowing our teams to take initiative, explore new solutions, and revel in the thrill of constant innovation.</p><p> </p><p>Join us and be a part of a team committed to making a positive impact—where safety, sustainability, collaboration, and empowerment intersect to drive innovation.</p><p></p><h3><strong>IMAGINE THE FUTURE WITH ENVALIOR</strong></h3><p>As <strong>AI Architect</strong> at Envalior, you will <strong>design and govern the enterprise AI architecture</strong>, ensuring that <strong>all AI solutions are secure, scalable, interoperable, and cost‑efficient across the organization</strong>.<br /> You will actively <strong>define technical standards for LLMs, embeddings, vector stores, orchestration, and infrastructure</strong>, ensuring <strong>consistent, compliant, and robust AI deployments</strong>.<br /> Additionally, you'll embrace a pioneering spirit, exploring new <strong>AI technologies and architectural patterns</strong> to contribute to our values and mission.</p><p> </p><p>You will make key contributions to Envalior:</p><p> </p><ul><li>Design and maintain enterprise‑wide AI hosting, vector databases, and orchestration layers</li><li>Establish standards for AI infrastructure, LLM utilization, deployment workflows, and enterprise integration</li><li>Ensure compliance, security, scalability, and cost governance across all AI environments</li><li>Lead AI lifecycle governance, including monitoring, drift detection, and retraining frameworks</li><li>Partner with Data Architects to connect AI systems with the enterprise data fabric</li><li>Evaluate and introduce emerging AI technologies and architectures</li><li>Guide AI Scientists and Engineering teams on best practices for deployment and optimization</li></ul><p> </p><p></p>