Enterprise AI Solution Architect

Capgemini Engineering; Poznań; Hybrid; PLN 400,000 - 650,000; Full time

Benefits offered by this job

Hybrid work model

Medical care

Private life insurance

Wellbeing helpline

Training tracks on NEXT

Job summary

Capgemini Engineering in Poznań seeks an experienced AI solution architect to act as technical authority and strategic advisor for AI architecture across high-priority use cases, linking reusable AI platform services with production delivery at enterprise scale.

You will define standard AI architecture patterns, lead PI planning sessions with VP/Director stakeholders, mentor junior architects, and drive cost efficiency by consolidating shared reusable services while maintaining quality.

Qualifications

• 10+ years in solution architecture with AI/ML focus.
• Proven ability to design scalable AI architecture patterns across multiple use cases.
• Experience with enterprise platforms such as Databricks, SharePoint and ERP systems.
• Strong advisory and executive communication skills.

Responsibilities

• Embed with client AI teams to understand priority use cases and existing architecture.
• Define and enforce standard AI architecture patterns and design choices.
• Identify and consolidate duplicated components into shared reusable services.
• Design observability, evaluation, and monitoring frameworks for AI in production.
• Participate in PI Planning and executive reviews, providing strategic recommendations.

Skills

AI solution architecture

Generative AI

RAG pipelines

LLM orchestration

Executive influence

Tools

Databricks

SharePoint

ERP systems

Job description

Capgemini Engineering in Poznań seeks an experienced AI solution architect to act as technical authority and strategic advisor for AI architecture across high-priority use cases, linking reusable AI platform services with production delivery at enterprise scale.

You will define standard AI architecture patterns, lead PI planning sessions with VP/Director stakeholders, mentor junior architects, and drive cost efficiency by consolidating shared reusable services while maintaining quality.