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 AIDrive 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
Drive strategic recommendations for AI platforms and capabilities
Stay at the forefront of agentic AI, Gen
AI, and automation trends
Contribute to Po
Cs, pilots, and innovation initiatives
Architecture Governance & Decision Leadership
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
Technical Leadership & Community Building
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
This is not only a technical role — it is a strategic and transformational role, requiring strong leadership, influence, and the ability to operate across organizational boundaries
YOUR PROFILEBachelor’s degree in Computer Science, Engineering, Information Technology, or a 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 Gen
AI, 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 organizations is a plus
Wait, there’s more…We offer you an outstanding and collaborative workplace that embodies our sharing & conviviality culture, the possibility to work remotely (up to 2 days a week), a very complete mutual insurance, an 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.
Job Posting End Date:Target Hire Date: Target End Date:
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