Specialist Solution Architect, AI - Ecosystem

Résumé du poste

France
Data Engineer

Modèle de travail

Entièrement remote
Uniquement FR
il y a 4 jours
Description du poste

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Specialist Solution Architect, AI - Ecosystem based in France.

As a Specialist Solution Architect focused on AI, you will play a key role in helping technology partners adopt, implement, and scale cutting-edge AI solutions across diverse industries. This position combines technical expertise, pre-sales consulting, and ecosystem enablement, allowing you to influence AI strategy from evaluation through deployment.

Working closely with partner organizations, data scientists, developers, architects, and business leaders, you will guide the design of innovative AI architectures, support proof-of-concepts, and drive successful adoption of open-source AI technologies.

Accountabilities

  • Deliver technical presentations, demonstrations, workshops, and solution deep dives to partners and stakeholders.
  • Support pre-sales activities by contributing to technical proposals, architecture designs, RFIs, RFPs, and other solution-related documentation.
  • Collaborate with partner solution architects, account teams, and technical stakeholders to identify challenges and accelerate AI initiatives.
  • Design, architect, and guide the implementation of AI solutions, including machine learning pipelines, data architectures, and deployment frameworks.
  • Support proof-of-concept projects, technical evaluations, hackathons, and innovation initiatives.
  • Drive ecosystem adoption by enabling partners to develop industry-specific AI use cases.
  • Act as a trusted technical advisor, helping align AI strategies, business goals, and technology roadmaps.
  • Collaborate with product management and engineering to provide market feedback and contribute to product evolution.
  • Create reusable technical assets, best-practice documentation, and enablement materials.
  • Mentor team members and contribute to knowledge sharing across the broader technical community.
  • Participate in industry events, conferences, and thought leadership activities.

Requirements

  • Hands-on experience in AI, machine learning, data science, MLOps, or LLMOps.
  • Practical experience developing AI applications (LLMs, RAG, NLP, deep learning, computer vision, or predictive analytics).
  • Strong proficiency in Python or other statistical programming languages.
  • Experience with leading open-source AI frameworks such as TensorFlow or PyTorch.
  • Knowledge of AI system architecture, data pipelines, model training, and operationalization.
  • Familiarity with DevOps, CI/CD, Infrastructure as Code (IaC), and cloud-native environments.
  • Strong communication and presentation skills.
  • Experience leading workshops, technical demonstrations, or architecture reviews.
  • Ability to quickly learn new technologies and adapt to evolving AI trends.
  • Strong collaboration, stakeholder management, and problem-solving skills.
  • Comfortable working in a remote and highly collaborative international environment.

Preferred Qualifications

  • Degree in Computer Science, AI, Data Science, Engineering, or a related field.
  • Previous experience in technical pre-sales, sales engineering, or consulting within enterprise software or SaaS.
  • Experience implementing AI solutions for enterprise customers.
  • Knowledge of MLOps, LLMOps, AI governance, and scalable production AI systems.
  • Industry expertise in sectors such as financial services, healthcare, or defense.
  • Active involvement in open-source communities or AI user groups.
  • Experience contributing technical content through presentations, blogs, or publications.

Benefits

  • Competitive compensation package.
  • Flexible and remote-first working environment.
  • Opportunities for continuous learning and professional development.
  • Access to cutting-edge AI technologies and industry-leading technical communities.
  • Collaborative and inclusive workplace culture.
  • Exposure to global projects and diverse industry challenges.
  • Career growth opportunities.
  • Mentorship and knowledge-sharing opportunities.

How Jobgether works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.

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