Agentic AI Solution Architect | Remote-Ready & Profit Share

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

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.