The role involves designing and evolving scalable, secure enterprise data and AI platforms with a focus on Generative AI and MLOps. The architect will define best practices and ensure architectural consistency across multiple parallel initiatives.
This is a remote position.
On behalf of our Client, the UK branch of a global consulting company, we are looking for a: Data Platform Architect.
We are seeking an experienced Data Platform Architect to support the design and evolution of modern data and AI platforms, with a strong focus on Generative AI, MLOps, and advanced analytics. The role requires building scalable, secure, and future-ready solutions aligned with enterprise standards.
RESPONSIBILITIES:
Providing end-to-end architectural support across GenAI platforms, MLOps, and advanced analytics ecosystems
Designing scalable, secure, and enterprise-grade data and AI platform solutions
Ensuring architectural consistency across multiple parallel initiatives
Driving platform sustainability, scalability, and operational excellence
Collaborating with cross-functional teams (data, AI, engineering, business stakeholders)
Defining best practices, standards, and architectural guidelines for AI and data platforms
Requirements
8+ years of experience in data/AI engineering, including min. 3–5 years in an architectural role
Proven experience as a Data / AI / ML Architect or similar role
Strong understanding of Generative AI (LLMs), MLOps, and modern data platforms
Experience designing scalable and secure enterprise solutions
Hands-on experience with cloud platforms (Azure, AWS or GCP)
Familiarity with tools such as Databricks, MLflow, Azure ML, SageMaker or similar
Strong stakeholder management and communication skills
Ability to work across multiple projects and priorities
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