Solution Architect Agentic AI

Want to join a fastmoving 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 youll 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

• Drive strategic recommendations for AI platforms and capabilities

• Stay at the forefront of agentic AI GenAI and automation trends

• Contribute to PoCs 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 PROFILE

• Bachelors degree in Computer Science Engineering Information Technology or a related field; Masters 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 organizations is a plus

Wait theres 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 profitsharing 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.

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