AI / ML Solutions Architect

About us

For more than 20 years, our global network of passionate technologists and pioneering craftspeople has delivered cutting‑edge technology and game‑changing consulting to companies on the brink of AI driven digital transformation. Since 2001, we have grown into a full service digital consulting company with 5500+ professionals working on a worldwide ambition. Driven by the desire to make a difference, we keep innovating. Fuelling the growth of our company with our knowledge worker culture. When teaming up with Xebia, expect in-depth expertise based on an authentic, value‑led, and high quality way of working that inspires all we do.

At Xebia, we put ‘People First’ - committed to attracting diverse talent and fostering an inclusive, respectful workplace where everyone is valued for their contributions. We welcome all individuals and evaluate solely on the quality of their work and teamwork.

Experienced Senior Software Engineer specialized in full-stack application development with expertise in artificial intelligence to join our team. This role combines deep technical software engineering skills across frontend and backend technologies with specialized knowledge in AI / ML technologies to design, develop, and deploy intelligent systems at scale.

About the Role

We are looking for an experienced Senior Solution Architect with deep expertise in AI, Machine Learning, Generative AI, and Agentic AI to join our team. This is a senior technical leadership role focused on designing, developing, and scaling AI / ML solutions for complex enterprise environments across various industries.

Responsibilities

• Client Engagement & Discovery : Work directly with clients to understand business needs and identify opportunities for AI / ML / GenAI / Agentic AI adoption.
• Solution Design & Architecture : Lead the design of scalable, secure, and production‑grade AI / ML solutions.
• Proposal Management : Lead the technical response to RFPs / RFIs and support pre‑sales efforts.
• Project Leadership : Define project scope, resource planning, risk management, and delivery timelines.
• Technical Mentorship : Provide guidance and mentorship to engineering and data science teams.
• Hands‑on Involvement : Contribute to architecture reviews, prototyping, and critical solution components.
• Cross‑Team Collaboration : Partner with sales, product, engineering, and external technology partners to expand solution capabilities.
• Thought Leadership : Represent the organization in workshops, conferences, and technical forums.

Required Qualifications

Nice to have Qualifications

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