The Senior Vice President, AI Engineering is a senior technical leader for the MRCL platform at Publicis Groupe, working collaboratively alongside other senior engineering and technology leaders to drive engineering excellence across the platform. This role plays a key part in shaping infrastructure decisions, platform hardening, and technical standards — while also partnering with go-to-market and growth teams to support engineering-led sales efforts. The SVP ensures that global MCPs (Model Context Protocol integrations) are properly integrated and maintained across the platform, serving as a critical bridge between technical execution and commercial growth.
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Collaborate with senior engineering and technology leadership to shape MRCL's infrastructure and platform architecture strategy, ensuring reliability, security, and scalability at enterprise scale
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Lead the strategic adoption and operationalization of AI technologies across the MRCL platform, including LLM-powered applications, agentic workflows, and AI services, ensuring scalable, secure, and enterprise-grade deployment.
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Establish governance and best practices for AI systems, including model lifecycle management, observability, evaluation frameworks, responsible AI standards, and integration with enterprise data and security controls.
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Drive platform hardening initiatives including security posture improvements, system resilience planning, and compliance with Publicis Groupe's data governance requirements
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Oversee the proper integration of global MCPs across the MRCL platform, ensuring consistent performance, governance, and alignment with platform standards
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Partner with go-to-market and growth teams to support engineering sales efforts — translating platform capabilities into compelling technical narratives for clients and prospects
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Contribute to infrastructure decisions across cloud architecture, API design, and system integration, balancing speed of innovation with operational stability
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Build and mentor engineering talent, establishing strong ways of working, code review standards, and a culture of engineering excellence
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Represent engineering in cross-functional executive conversations, articulating technical trade-offs and their business implications with clarity
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Minimum of 15 years of experience in Engineering.
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Deep expertise in cloud infrastructure, platform architecture, and enterprise-grade system design
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Strong working knowledge of API frameworks, MCP integrations, and distributed systems
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Proven ability to collaborate and lead through influence across senior, cross-functional teams
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Ability to translate complex technical concepts into clear business language for commercial and executive audiences
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Experience supporting engineering-led sales or go-to-market functions, including client-facing technical storytelling
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Strong grasp of security, compliance, and data governance best practices at scale
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Skilled people leader with experience building and developing high-performing engineering teams
