At a glanceSummarised by Seekless from the posting.
Must have10
Significant experience in managing AI platforms on Azure (Azure ML, Databricks)
Strong background in IT infrastructure and cloud automation
Demonstrated ability to create reference architectures for diverse AI workloads (LLMs, RAG, Predictive Analytics)
Experience serving as a technical gatekeeper
Experience in enterprise SDLC for AI
Experience defining and enforcing enterprise-grade operational standards for model deployment, validation, and performance tracking
6+ years in IT or Engineering
5+ years in a leadership role focused on AI platform
Professional fluency in English
Clear understanding of the distinction between AI Platform management, Data Platform management, and Data Engineering/BI functions
Nice to have1
Proficiency in French
Skills
Azure
Azure ML
Databricks
LLMs
RAG
Predictive Analytics
•
Title: AI Engineering & Platform Lead
•
Location: Barcelona
About us
At Visium, we partner with leading enterprises to define their AI & Data strategy, execute large- scale transformations, and integrate AI across operations, securing their organization’s future. Leveraging our expertise in strategy, cloud platform engineering, and artificial intelligence, we empower our clients to unlock and scale the power of their data. We are currently spearheading a major transformation for a client in the Flavor and Fragrance sector and are seeking exceptional talent to contribute to this impactful work.
This is a unique opportunity to join our client’s team (as a direct employee of the client). You will shape the future of the organization, collaborating with senior leaders and cutting-edge technologies to deliver AI-driven innovation and tangible business impact.
Role
As the AI Engineering & Platform Lead, you serve as the central technical authority for the enterprise AI capability. Your objective is to establish the infrastructure, governance, and technical talent required to scale AI initiatives. You own the technical execution—ensuring every solution is built on a robust enterprise platform, adheres to established engineering standards, and is managed with operational efficiency.
•
You ensure the AI ecosystem is a core component of the IT landscape, integrated with enterprise network, security, and data platform architectures.
•
You provide Line Management for the Data Scientists and AI/ML Engineers
•
You maintain authority over the technical frameworks and standards they utilize.
Responsibilities
Enterprise AI Infrastructure & Architecture
•
Platform Strategy: Own the strategic roadmap and oversee the technical health of the enterprise AI platform with a full focus on Azure
•
Architectural Design: Develop reference architectures and infrastructure patterns for AI teams
Technical Governance & Standards
•
Establish and enforce company-wide technical standards across the AI lifecycle
•
Integrate data privacy, ethical AI guardrails, and model auditing into the automated development pipelines in alignment with the security team.
•
Act as the final authority on AI deployment patterns
Talent Stewardship & Capability Building
•
Act as the dedicated line manager for the community of Data Scientists, and AI/ML Engineers and focus on their career development and resource management.
Operational Excellence & Innovation
•
Manage post-production support and maintenance of deployed AI products, ensuring high availability and performance against enterprise SLAs and take of FinOps for the platform.
•
Stay up-to-date in the field of AI to guide the teams
Requirements
Architecture & Platform Strategy
•
Significant experience in managing AI platforms on Azure (Azure ML, Databricks)
•
Strong background in IT infrastructure and cloud automation
•
Demonstrated ability to create reference architectures for diverse AI workloads (LLMs, RAG, Predictive Analytics).
•
Experience serving as a technical gatekeeper
Engineering & Lifecycle Expertise
•
Experience in enterprise SDLC for AI
•
Experience defining and enforcing enterprise-grade operational standards for model deployment, validation, and performance tracking
Foundations
•
Experience: 6+ years in IT or Engineering; 5+ years in a leadership role focused on AI platform.
•
Languages: Professional fluency in English; proficiency in French is strongly preferred.
•
Organizational Awareness: Clear understanding of the distinction between AI Platform management, Data Platform management, and Data Engineering/BI functions.