About the job
Join Envalior – Imagine The Future!
Are you driven by a passion for transforming the future in a rapidly changing landscape? At Envalior, we are on the lookout for a skilled AI Architect to enhance our innovative Data Enablement and AI Team. In this role, you will be instrumental in creating a secure, scalable, and future-ready AI infrastructure that supports Envalior’s global digital transformation.
At Envalior, we are not just shaping the future of high-performance materials; we are pioneering it. Our culture is rooted in the belief that every voice matters and every idea is valuable. Empowerment is at the heart of our innovative approach, enabling our teams to take initiative, explore new solutions, and embrace the excitement of constant innovation.
Join us to be part of a team dedicated to making a positive impact—where safety, sustainability, collaboration, and empowerment drive our innovative efforts.
IMAGINE THE FUTURE WITH ENVALIOR
As the AI Architect at Envalior, your responsibilities will include designing and overseeing our enterprise AI architecture. You will ensure all AI solutions are secure, scalable, interoperable, and economically viable throughout the organization. Your role involves actively defining technical standards for LLMs, embeddings, vector stores, orchestration, and infrastructure to guarantee consistent, compliant, and robust AI deployments. Moreover, you will embody a pioneering spirit by exploring new AI technologies and architectural patterns that align with our core values and mission.
Your contributions will include:
- Designing and maintaining enterprise-wide AI hosting, vector databases, and orchestration layers.
- Establishing standards for AI infrastructure, LLM utilization, deployment workflows, and enterprise integration.
- Ensuring compliance, security, scalability, and cost governance across all AI environments.
- Leading AI lifecycle governance, including monitoring, drift detection, and retraining frameworks.
- Collaborating with Data Architects to connect AI systems with the enterprise data fabric.
- Evaluating and introducing emerging AI technologies and architectures.
- Guiding AI Scientists and Engineering teams on best practices for deployment and optimization.

