Solution Architect - Agentic AI

Want to join a fast‑moving company, work among convivial teams, and take part in the global growth strategy of one of the most prestigious and comprehensive portfolios in the wine & spirits industry ?

Embark on an exciting journey with our global Tech team, operating in agile mode within a dynamic product organization. Join a collaborative environment where innovation thrives, and your contributions will directly shape the trajectory of our cutting‑edge products. As a key player in our agile setup, you'll have the opportunity to drive efficiency, foster creativity, and play a pivotal role in our product development process. Be part of a team that embraces adaptability and values continuous improvement, ensuring we stay at the forefront of technology advancements on a global scale.

We are seeking talented and experienced Solution Architects to join our dynamic team. Solution Architect is responsible for designing end-to-end solutions (encompassing application layer, data layer and infrastructure layer) that address our businesses and functions’ needs.

You will be a part of the Global Enterprise Architecture team and work closely with domain representatives, product owners, developers, data architects, infrastructure specialists and other stakeholders to understand requirements and translate them into robust, scalable, and efficient solutions.

As Pernod Ricard accelerates its journey in AI, automation, and intelligent agents, this role is key to ensuring consistency, quality, and scalability of AI-driven solutions across products and domains

The Agentic AI Solution Architect is a senior role responsible for defining and driving the enterprise-wide AI architecture vision at Pernod Ricard.

YOUR RESPONSIBILITIES:

• Act as the primary authority and trusted advisor on AI architecture
• Define and embed the reference architecture, governance, and standards for AI
• Drive a mindset shift towards AI-first product and architecture thinking
• Drive adoption of best practices and reusable AI patterns across product teams
• Facilitate key architecture decisions, trade-offs, and prioritisation at enterprise level
• Lead definition and evolution of:
• Agent-based architectures
• LLM orchestration patterns
• RAG and knowledge-driven systems
• Drive reuse of components, accelerators, and frameworks.

Defining AI Reference Architecture & Driving Adoption

• Define and maintain the Agentic AI reference architecture, covering:
• LLM-based systems, autonomous agents, orchestration layers
• Data pipelines, knowledge retrieval (RAG), and model integration
• Security, governance, and responsible AI principles
• Ensure alignment with enterprise architecture frameworks and standards
• Provide reusable patterns, design principles, and guardrails for AI solutions

Solution Design & Delivery Support

• Support product teams in designing end-to-end AI-enabled solutions
• Translate business use cases into scalable and secure AI architectures
• Guide teams on:
• Model selection and integration (LLMs, APIs, platforms)
• Prompt orchestration, agent workflows, and reasoning patterns
• Integration with enterprise systems and data platforms
• Ensure solutions are production-ready, scalable, and maintainable

AI Technology Evaluation & Innovation

• Evaluate emerging AI technologies, tools, and frameworks