Solution Architect - Agentic AI (H/F)

Pernod-Ricard; Paris; Hybrid; EUR 110,000 - 150,000; Full time

Benefits offered by this job

Remote work up to 2 days/week

Mutual insurance

Profit-sharing

Learning and development

Employee events

Job summary

Pernod Ricard is seeking a Solution Architect to lead enterprise AI architecture across global products. You will define reference architectures for AI, drive governance, and promote AI-first design principles.

The role collaborates with domain experts, developers, data architects, and security teams to deliver scalable, secure AI-enabled solutions. You’ll design agent-based architectures, LLMs orchestration, and RAG-driven systems while ensuring alignment with enterprise standards.

Qualifications

• Bachelor’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 GenAI, LLMs, RAG, and agentic AI concepts.

Responsibilities

• Act as the primary AI architecture authority.
• 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, and RAG systems.
• Define and maintain the Agentic AI reference architecture, including data pipelines and model integration.
• 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, prompt orchestration, and agent workflows.
• Integration with enterprise systems and data platforms; ensure production-readiness.
• Evaluate emerging AI technologies and drive strategic recommendations.

Skills

AI architecture

Azure cloud

Enterprise architecture

Solution design

Stakeholder influence

Education

Bachelor's degree in CS/Engineering

Master's degree preferred

Tools

APIs

Data pipelines

LLMs

GenAI

Job description

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

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

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

Bachelor’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 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, there’s more…

We offer you an outstanding and collaborative workplace that embodies our sharing & conviviality culture, the possibility to work remote (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.