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 will 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.

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 the 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
• Define and maintain the Agentic AI reference architecture covering LLM‑based systems, autonomous agents, orchestration layers, data pipelines, knowledge retrieval (RAG), 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
• 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
• Integrate with enterprise systems and data platforms
• Ensure solutions are production‑ready, scalable, and maintainable
• Evaluate emerging AI technologies, tools, and frameworks
• Drive strategic recommendations for AI platforms and capabilities
• Contribute to PoCs, pilots, and innovation initiatives
• Act as the primary AI architecture authority in ARB / GD2A / ADR processes
• Ensure consistency of AI‑related decisions across domains
• Partner with Cyber and Data Privacy to enforce responsible AI standards
• Provide clear guidance on risks, trade‑offs, and architectural choices
• Serve as the go‑to expert and trusted advisor for AI architecture topics
• Mentor Solution Architects and engineering teams on AI best practices
• Contribute to architecture playbooks, guidelines, and knowledge sharing
• Drive adoption of AI architecture standards across the organization

Profile

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field; Master’s degree preferred
• 10+ years of experience in solution architecture, software engineering, data architecture, or a closely related technical discipline
• Proven track record in designing and delivering enterprise‑scale technology solutions
• Strong experience with cloud platforms, particularly Azure
• Deep understanding of enterprise software development methodologies, frameworks, and best practices
• Hands‑on experience with data platforms, data pipelines, and integration architecture
• Strong knowledge of API design, system integration, and modern application architecture
• Experience with AI/ML solutions, including GenAI, LLMs, RAG, and agentic AI concepts
• Ability to translate business requirements into scalable and secure technical solutions
• Good understanding of security, privacy, and responsible AI principles
• Familiarity with cloud‑native development and serverless computing
• Experience working with enterprise stakeholders and influencing architecture decisions across teams
• Strong analytical and problem‑solving skills with a pragmatic, delivery‑oriented mindset
• Ability to balance innovation, governance, scalability, and total cost of ownership
• Experience in consumer goods, FMCG, or similarly complex global organisations is a plus

Benefits

• Outstanding and collaborative workplace that embodies our sharing and conviviality culture
• Possibility to work remotely (up to 2 days a week)
• Very complete mutual insurance
• Attractive compensation including profit‑sharing
• Continuous learning opportunities
• Employee events and more

Pernod Ricard is committed to offering equal opportunities to all talents. Our recruitment methods focus on skills and competencies.