AI Architect @ Capgemini Polska Sp. z o.o.

Capgemini Polska Sp. z o.o.; Poland; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Training budget

Sport subscription

Private healthcare

International projects

Free coffee

Bike parking

Free parking

Mobile phone

In-house trainings

Modern office

No dress code

Job summary

Capgemini is recruiting an experienced AI Solution Architect in Poland to act as the technical authority for enterprise AI initiatives. You will bridge reusable platform services with production delivery, guiding design choices and ensuring scalable architectures across multiple use cases.

Join Capgemini to work on GenAI, RAG pipelines, and LLM orchestration within a hybrid environment. Expect collaboration with global teams, continuous learning, and a focus on delivering measurable business

Qualifications

• 10+ years in solution architecture.
• 3–5 years focused on AI/ML, including GenAI architecture.
• Deep expertise in RAG pipelines and multi-agent orchestration.

Responsibilities

• Act as technical authority for AI solution architecture across priority use cases.
• Enforce standard AI architecture patterns and reusable services.
• Lead observability, evaluation, and cost management for production AI systems.

Skills

AI solution architecture

Generative AI architecture

RAG pipelines

LLM orchestration

Cost optimization

Executive communication

Tools

Databricks

SharePoint

ERP systems

Job description

Your profile

• 10+ years of experience in solution architecture, with at least 3 to 5 years specifically focused on AI/ML solutions, including deep expertise in Generative AI architecture, RAG pipelines, agentic frameworks, and LLM orchestration
• Proven ability to design scalable, reusable AI architecture patterns across multiple use cases and teams, with experience in chunking strategies, hybrid retrieval methods combining semantic and keyword search, and re-ranking techniques
• T-shaped technical expertise with depth in AI solution architecture and breadth across data architecture, integration patterns, and infrastructure, including experience with enterprise platforms such as Databricks, SharePoint, and ERP systems
• Strong knowledge of observability and evaluation frameworks for AI systems in production, with experience making fit-for-purpose versus technical debt determinations for platform and AI Foundry reusable services
• Demonstrated experience in a strategic advisory capacity across multiple delivery partners in enterprise settings, with executive communication skills, a track record of influencing without authority, and experience coaching and developing junior and mid-level architects

Your role

In this role you will serve as the technical authority and strategic advisor for AI solution architecture across a portfolio of high-priority use cases, bridging the gap between reusable AI platform services and production delivery - driving alignment, scalability, and cost efficiency at enterprise scale.

What You'll love about working here

• Well-being culture: medical care with Medicover, private life insurance, and sports card. But we went one step further by creating our own Capgemini Helpline offering therapeutical support if needed and the educational podcast "Let's talk about wellbeing" which you can listen to on Spotify.
• Access to over 70 training tracks with certification opportunities (e.g., GenAI, Architects, Google) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, TED Talks and Udemy Business materials and trainings.
• Continuous feedback and ongoing performance discussions thanks to our performance management tool GetSuccess supported by a transparent performance management policy.
• Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair).

Get to know us

Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued.

About Capgemini

Capgemini is the business transformation partner for enterprises in the age of AI. We help organizations imagine and build an intelligent, sustainable future, combining AI, technology and human ingenuity to transform how they operate, innovate and grow. With unique end-to-end capabilities spanning strategy, technology, engineering and intelligent operations, we bring together deep industry expertise and market-leading capabilities in AI, cloud and data to turn ambition into measurable business outcomes at scale. Supported by a robust ecosystem of partners and nearly 60 years of expertise, Capgemini is a responsible and diverse global organization of over 410,000 team members in more than 50 countries. The Group reported 2025 revenues of €22.5 billion.

• ,[Embedding with the client AI team to develop a thorough understanding of all priority use cases, existing architecture, and current technical approaches across multiple delivery partners, Defining and enforcing standard AI architecture patterns across use cases, including model selection strategies, RAG pipeline design, chunking approaches, LLM orchestration frameworks, and multi-agent coordination, Identifying and eliminating duplicated components across teams, mandating consolidation into shared reusable services to reduce technical debt and increase delivery efficiency, Designing and implementing observability, evaluation, and monitoring frameworks covering latency, accuracy, hallucination tracking, and cost management for AI systems in production, Participating in PI Planning sessions and executive reviews, providing technical visibility and strategic recommendations to VP and Director-level stakeholders, and upskilling delivery partner teams on validated architectural patterns and best practices]

• Requirements: AI, Use cases, Databricks, SharePoint, ERP, Communication skills
• Additionally: Training budget, Sport subscription, Private healthcare, International projects, Free coffee, Bike parking, Free parking, Mobile phone, In-house trainings, Modern office, No dress code.