Head of IT AI Platform

ODDO BHF; Clichy; Sur place; EUR 140 000 - 190 000; Plein temps

Résumé du poste

ODDO BHF is seeking a Head of IT AI Platform to lead design, deployment, and scaling of the Group’s enterprise AI Platform. You will treat AI capabilities as a product and drive LLMOps, governance, and self-service adoption across the organization.

In this role, you will define the AI platform strategy, manage budgets, and lead AI/ML engineering teams while partnering with Data & Digital Services to ensure compliant, scalable AI across the enterprise.

Qualifications

• Senior AI platform leader with production experience.
• Ability to govern AI and ensure compliance.
• Strong execution and business orientation.
• Experience scaling AI across an organization.

Responsabilités

• Define and own AI Platform vision, roadmap, and operating model.
• Manage platform budget and investments.
• Deploy and maintain AI solutions including Claude, Azure Foundry, MS Copilot.
• Lead AI lifecycle industrialization (LLMOps / MLOps).
• Enable self-service AI adoption via marketplace and reusable components.
• Ensure governance, risk control, and scalability.
• Lead AI/ platform/ ML engineering teams.
• Co-lead AI transformation with Data & Digital Services.

Connaissances

AI platform

Product mindset

Technical understanding

AI ecosystems

Industrialization

Governance

Compliance

Business mindset

Execution

Outils

Snowflake

Claude

Azure Foundry

MS Copilot

Description du poste

Within the Group IT organization at ODDO BHF, the Head of IT AI Platform leads the design, deployment, and scaling of the Group’s enterprise AI Platform.

This role focuses on operating AI capabilities (GenAI, LLMs, agents) as a shared enterprise platform, enabling business domains to develop and run AI use cases at scale within a secure and governed framework.

MAIN MISSION

Define, deliver, and operate a scalable, secure, and industrialized AI Platform, and enable its adoption across the Group by:

• Treating AI capabilities as products
• Enabling AI lifecycle industrialization (LLMOps / MLOps)
• Driving self-service AI adoption
• Ensuring governance, risk control, and scalability

KEY RESPONSIBILITIES

1. AI Platform Strategy and Operating Model

• Define and own AI Platform IT vision, roadmap, and operating model
• Align with business priorities and Data & AI strategy

Manage platform budget and Investments

• Own the AI agentic platform (Prisme AI) as a product:
• cost control (LLM usage / API consumption)
• Deploy and maintain AI solutions such as Claude, Azure Foundry, MS Copilot
• Ensure monitoring, lifecycle management, and continuous improvement
• Lead implementation and scaling of Prisme AI platform, Claude, Azure Foundry, MS Copilot
• integration with Snowflake (data layer)
• integration with LLMs and applications

Develop connectors and integration patterns

AI Lifecycle Industrialization (LLMOps / MLOps)

• Define and operate:
• versioning and CI/CD for models
• Monitor performance, usage, cost, reliability
• Enable production deployment at scale
• Align to the Data & Digital services governance, implement governance framework:
• access policies
• Ensure compliance with data confidentiality and regulatory constraints
• Secure AI usage across the enterprise

AI Enablement & Self-Service

• Enable business adoption via AI marketplace / catalog and reusable components (agents, prompts, APIs)
• Improve developer and user experience
• Promote AI adoption across business units

Delivery & Value Creation

• Ensure end-to-end delivery of AI platform capabilities
• Align priorities with Data & Digital Services
• Ensure value generation and adoption

Leadership & Organization

• Lead AI / platform / ML engineering teams
• Structure scalable AI engineering capabilities
• Manage internal teams and external partners

Business Partnership with Data & Digital Services

• Co-lead AI transformation with Data & Digital Services
• Align IT roadmap, priorities, and investments
• Enable industrialization of AI use cases
• Ensure coordination across IT

PROFILE & SKILLS

1. Profile

A senior AI and platform leader combining:

• AI platform mindset (AI as a scalable product)
• Strong technical understanding of AI ecosystems
• Industrialization experience (POC to production)
• Risk-aware leadership (AI governance & compliance)
• Business-oriented mindset
• Strong execution capability

2. Core Competencies

• Strong understanding of:
• LLM ecosystems

B. AI Lifecycle & MLOps

• Experience with:
• MLOps / LLMOps practices
• Experience industrializing AI at scale

C. AI Enablement

• Experience building AI marketplaces and reusable AI components
• Strong focus on self-service adoption

D. AI Governance & Risk

• Knowledge of:
• regulatory constraints
• Ability to define governance frameworks

E. Integration with Data Platform

• Good understanding of:
• interaction with Snowflake and data products

F. Leadership & Stakeholder Management

• Leadership of IT teams in a product driven organisation
• Strong interaction with Data & Digital Services and business
• Ability to balance innovation, cost, and risk

3. Technical Skills

• LLM platforms and APIs
• MLOps / LLMOps tooling
• Security & IAM for AI usage

4. Experience

• 10+ years in Data / AI / Platform engineering
• Leadership experience in AI programs
• GenAI / AI platform implementation
• AI industrialization at scale
• Experience in regulated environments preferred