Entegris is seeking a visionary Data & AI Architect to lead the design and implementation of scalable, intelligent systems that power their digital transformation, enabling operational excellence in manufacturing and elevating customer engagement.
Requirements
- Strong expertise in cloud platforms (GCP preferred; AWS or Azure also considered).
- Deep knowledge of data modeling, governance, and security principles.
- Proficiency in AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, Vertex AI).
- Familiarity with CI/CD pipelines, DevOps practices, and container orchestration (Docker, Kubernetes).
- Experience with knowledge graph technologies and metadata management.
- Expertise in data engineering, data modeling, and data architecture.
- Experience with AI and machine learning technologies and frameworks.
Responsibilities
- Design and implement scalable data models, ontologies, and taxonomies aligned with business goals.
- Lead the development of enterprise data architecture on GCP to support analytics, operations, and AI workloads.
- Define metadata strategies and knowledge graph frameworks to enhance data discoverability and reuse.
- Architect and deploy AI/ML solutions, including LLM integration and agent-based frameworks.
- Evaluate and recommend AI technologies and frameworks that align with business needs.
- Establish and enforce ethical AI practices, including bias mitigation, transparency, and accountability.
- Partner with data engineers, scientists, and business stakeholders to deliver impactful solutions.
Other
- Provide architectural guidance and mentorship to delivery teams across the organization.
- Champion data governance, quality, and security best practices across the enterprise.
- Stay current with emerging trends in cloud computing, data engineering, and AI.
- Drive innovation by identifying opportunities to apply advanced analytics and AI to business challenges.
- Strong communication and collaboration skills in a global, remote-first environment.
