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Solutions Architect (AI/ML) at Xebia | Remote

XebiaRemote job
Remote Full-time

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Experience Level

Mid to Senior

Qualifications

RequirementsYour Profile:8–10+ years of experience in software engineering, data engineering, or ML/AI engineering.3+ years of experience in AI/ML architecture and solutions design. Proficient in cloud platforms, particularly AWS, Azure, and GCP. Strong understanding of AI/ML frameworks and tools. Excellent communication skills with the ability to engage technical and non-technical stakeholders. Proven track record in leading complex projects and delivering results.

About the job

Join Our Team as a Solutions Architect (AI/ML)!

At Xebia, we are dedicated to nurturing talent and fostering growth. With nearly 20 years of experience in developing innovative digital solutions for a diverse range of global clients, including industry giants like UPS, McLaren, Aviva, and Deloitte, we're excited to expand our team.

Our passion for cloud-based solutions has led us to forge partnerships with the three leading cloud service providers: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). Notably, we take pride in being the first AWS Premier Consulting Partner in Poland.

As part of the Xebia Group family since 2021, we are committed to making a significant impact in the technology landscape through innovation and excellence. Our core mission is encapsulated in one word: Authority. We strive to be recognized as the leading authority in our field.

What sets us apart? It's our attention to detail, commitment to continuous learning, and unwavering belief in the potential of every team member. We invite you to explore our culture firsthand!

We can’t wait to learn more about you!

Send in your resume and embark on this exciting journey with #Xebia.

Your Role:

  • Serve as the primary embedded engineering consultant within client teams.

  • Lead technical discovery, shaping solution strategies and delivery models.

  • Translate ambiguous business requirements into clear technical options with trade-offs.

  • Design reference architectures for AI/ML use cases encompassing data ingestion, model lifecycle, CI/CD, observability, and security.

  • Contribute to proofs of concept, pipelines, infrastructure as code, and release automation.

  • Support initiatives related to AI productization, AIOps/DevOps, and integration layers (API, BFF, frontend).

  • Define team structure, skill mix, and onboarding strategies for scaling delivery.

  • Create architecture documentation, runbooks, and onboarding resources.

  • Communicate technical decisions to stakeholders and leadership in a clear, business-oriented manner.

  • Collaborate with delivery management on planning, dependencies, and risk management.

About Xebia

Xebia is a global leader in providing innovative technology solutions, specializing in cloud services and AI/ML architectures. Our mission is to empower organizations to harness the potential of technology for transformative growth. We are recognized for our commitment to excellence and our ability to drive impactful change in the digital landscape.

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