ai solution architect (sme).

The challenge is no longer choosing models, but designing coherent, scalable AI architectures that deliver long-term business value.

This role exists to translate strategic AI ambitions into executable, enterprise-grade architectures.

 

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Mission 

You will operate as a Subject Matter Expert responsible for designing end-to-end AI architectures across data, models, platforms, integration, and security layers.

Acting in strategic consulting engagements, solution delivery programs, or product platform initiatives, you will define AI architectures that are scalable, governable, and aligned with enterprise and regulatory constraints.

 

Key Responsibilities

AI Architecture Design (Core)

• Design end-to-end AI architectures from data ingestion to inference and integration

• Define reference architectures and reusable AI platform patterns

• Select appropriate AI technologies based on performance, cost, and governance constraints

• Ensure architectural consistency across multiple AI initiatives
   

Enterprise Integration & Alignment

• Integrate AI platforms with existing enterprise systems and workflows

• Align AI architectures with enterprise IT, security, and data standards

• Collaborate with business stakeholders to translate requirements into technical designs

• Ensure AI solutions are aligned with long-term platform strategies
   

Technical Governance & Leadership

• Act as architectural authority for AI solutions

• Review and validate technical designs and implementation choices

• Define non-functional requirements: scalability, resilience, security, observability

• Support delivery teams during implementation and scaling phases

 

Technical Scope

Architecture Domains

• Data platforms and AI pipelines

• Model training, serving, and lifecycle management

• Integration patterns and API design

• Security, IAM, and compliance architecture
   

Technology Awareness

• Open-source and proprietary AI platforms

• Cloud, hybrid, and on-prem architectures

• Platform engineering and MLOps foundations
   

Production Awareness

• Enterprise-grade SLAs and reliability constraints

• Cost and scalability trade-offs

• Long-term maintainability and evolvability
   

Profile

Experience

• Strong background in solution or enterprise architecture

• Proven experience designing complex, large-scale systems

• Exposure to AI, data platforms, or advanced analytics in production
   

Mindset

• Systems-thinking and strategic orientation

• Strong communication and stakeholder alignment skills

• Ability to bridge business strategy and deep technical design

• Pragmatic, outcome-driven approach to architecture

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This is not a pure advisory role and not a hands-off architecture position.

This role is designed to shape how AI is built and scaled across enterprises, acting as the architectural backbone of AI transformation programs.

You will position yourself as an AI Architecture SME, enabling AI platforms to scale by orders of magnitude, contributing to the creation of one of the most advanced enterprise AI architectures across Europe.