Lead enterprise AI architecture across GenAI, RAG, MLOps and cloud-scale data platforms.
Enterprise AI Data Architect & MLOps Leader
We are looking for a strategic, hands-on architect with strong experience designing and scaling enterprise AI platforms, data lakes, and MLOps capabilities in the cloud.
Our client needs someone who can connect large-scale data engineering with production-grade machine learning and Generative AI, including RAG, foundation models, agentic workflows, and secure enterprise integration.
You will play a key role in shaping modern AI and data architecture, defining scalable patterns, and helping deliver advanced enterprise solutions from experimentation through to production.
What you’ll bring to this role
Experience with end-to-end machine learning and MLOps platforms
You have designed, trained, deployed, and operated production ML solutions using platforms such as SageMaker, Azure Machine Learning, Google Vertex AI, Databricks Machine Learning, Mosaic AI, or equivalent.
Experience with Generative AI and foundation model platforms
You have hands-on experience building GenAI applications, RAG solutions, agents, or LLM-powered capabilities using platforms such as Bedrock, Microsoft Foundry, Vertex AI, Databricks Mosaic AI, OpenAI, Anthropic, or equivalent.
Experience with enterprise cloud data platforms
You have designed scalable data lake, lakehouse, and object-storage architectures across AWS, Azure, GCP, Databricks, Snowflake, or comparable enterprise environments.
Experience with data integration and transformation
You have built complex ETL/ELT pipelines and integrated data across multiple enterprise systems using cloud-native, commercial, or open-source data engineering technologies.
Experience with large-scale distributed data processing
You have processed and transformed high-volume datasets using technologies such as Apache Spark, Hadoop, Databricks, or comparable distributed processing platforms.
Experience with real-time streaming and event-driven architectures
You have designed streaming data pipelines and event-processing solutions using technologies such as Apache Kafka, Confluent, Event Hubs, Pub/Sub, or equivalent.
Experience with cloud data warehousing and analytics
You have designed and worked with modern analytical platforms such as Snowflake, BigQuery, Microsoft Fabric, Azure Synapse, Databricks, or comparable cloud data warehouse technologies.
Experience with serverless and data-lake analytics
You have designed solutions that allow users and applications to analyse large datasets directly across modern cloud data platforms using SQL and distributed query technologies.
Experience with relational and NoSQL databases
You have strong experience selecting, designing, and working with relational and non-relational data stores, including PostgreSQL, MySQL, SQL Server, Oracle, MongoDB, Cassandra, Cosmos DB, DynamoDB, or similar technologies.
Experience with data governance, catalogue, and access management
You have implemented enterprise data discovery, governance, lineage, and controlled-access capabilities using platforms such as Microsoft Purview, Unity Catalog, Collibra, Alation, Dataplex, or equivalent.
Experience with business intelligence and data visualisation
You have turned complex datasets into accessible insights and dashboards using platforms such as Power BI, Tableau, Looker, Qlik, QuickSight, or equivalent.
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About working with Valrose – We listen. We understand. We solve.
Valrose consultants work with you to understand where your character, aspirations and skills will be most valued.
We will understand your priorities, whether financial, career progression, workplace culture or technology-related. We will discuss the opportunity thoroughly, explain how it aligns with your career goals, and guide you through the recruitment process with practical advice and support from your initial application through to offer.
We are trusted advisors to our clients, acting as an extension of their business.
We genuinely care about our candidates and enjoy connecting people with opportunities in which they can do meaningful work. Please apply or contact the Valrose team for a confidential discussion about the role, the technical environment and the selection process.
Our Values
Humanity – Success – Integrity – Accountability – Curiosity
Diversity – Welcome it. Trust it. Celebrate it.
Within our business, we have created an environment where anyone from any background can bring their authentic self to work, celebrating our differences while working towards a common purpose.
We believe this is not only the ethical thing to do; it is the intelligent thing to do. Diversity drives innovation.
The Valrose team is committed to building inclusive cultures and promoting equality for all.