About the job
Join Our Team as a Solutions Architect (AI/ML)!
Welcome to Xebia, a hub for innovation and expertise! With nearly 20 years of experience, we have been delivering cutting-edge digital solutions to a diverse array of clients worldwide, including industry leaders like UPS, McLaren, Aviva, and Deloitte.
We are deeply committed to Cloud-based solutions, partnering with the top three Cloud providers: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). Notably, we were the first AWS Premier Consulting Partner in Poland.
Previously known as PGS Software, we became part of the Xebia Group in 2021, a network of companies dedicated to transforming the technology landscape. Xebia epitomizes innovation, excellence, and global recognition, allowing us to engage in pioneering projects that make a real difference.
Our mission is clear: to be recognized as the authority in our field. We pride ourselves on the small details that set us apart, our positive attitude, dedication to continuous learning, and belief in the potential of every team member. We invite you to visit us and experience our vibrant culture firsthand!
We are excited to learn about you!
Please send us your resume and start a conversation with us to join the #Xebia community.
Your Role:
Act as the primary embedded engineering consultant within client teams.
Lead technical discovery and shape solution approaches and delivery models.
Translate ambiguous business requirements into clear technical options with trade-offs.
Design reference architectures for AI/ML use cases, focusing on data ingestion, model lifecycle, CI/CD, observability, and security.
Contribute hands-on to proofs of concept, pipelines, infrastructure as code, and release automation.
Support initiatives around AI productization, AIOps/DevOps, and integration layers (API, BFF, frontend).
Define team structure, skill mix, and onboarding approach for scaling delivery.
Create architecture documentation, runbooks, and onboarding materials.
Communicate technical decisions clearly and effectively to stakeholders and leadership.
Collaborate with delivery management on planning, dependencies, and risk management.
