
Account Solutions Architect – Engaged
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in France.
• Collaborate as part of a specialized team consisting of one Account Executive and one Account Manager.
• Acquire new clients and enhance existing relationships throughout Northern EMEA.
• Cover the Nordics and Benelux regions, which include Sweden, Norway, Denmark, Finland, the Netherlands, Belgium, and Luxembourg.
• Conduct technical discovery sessions with prospects and customers concerning model training, MLOps workflows, and infrastructure limitations.
• Create and present solutions that encompass ML infrastructure, GPU computing, storage, networking, Kubernetes orchestration, and MLOps tools.
• Execute proof-of-concept initiatives and architecture assessments leading to decision-making.
• Serve as the internal advocate for the customer by conveying technical needs and product deficiencies to Engineering and Product teams.
• Keep thorough documentation of customer architectures, solution designs, and unresolved technical queries.
• Assist in pursuing new logos and expanding current accounts throughout the region.
• A minimum of 3 years in a pre-sales, solutions engineering, or solutions architecture position, preferably with a focus on AI/ML platforms, cloud infrastructure, or HPC.
• Strong practical understanding of ML training and inference workflows.
• Hands-on experience with MLOps platforms, including experiment tracking, pipeline orchestration, and model serving.
• Familiarity with AI frameworks such as PyTorch, TensorFlow, or JAX.
• Understanding of GPU topology, network fabric, and cluster architecture.
• Practical experience with Kubernetes and managing containerized workloads at scale.
• Proven track record of handling multiple simultaneous opportunities across a geographic territory.
• Proficiency in English is mandatory.
• Willingness to travel up to 40% of the time.
• Must meet export-control access criteria: be a U.S. person, eligible without export authorization, or eligible and likely to obtain the necessary authorization.
• Successful candidates will need to undergo a basic criminal record check compliant with GDPR.
• Preferred: knowledge of NVIDIA GPU architectures (H100, A100, H200), CUDA, NCCL, cuDNN.
• Preferred: understanding of high-performance networking principles such as InfiniBand, RDMA, RoCE, and TCP/IP.
• Preferred: experience with AI labs, research institutions, or enterprise ML teams.
• Preferred: familiarity with physical AI applications.
• Preferred: experience with Salesforce, Jira, Confluence, or similar tools.
• Discretionary bonus.
• Equity awards.
• Family-level Medical Insurance.
• Family-level Dental Insurance.
• Generous Pension Contribution.
• Life Assurance at 4x Salary.
• Critical Illness Cover.
• Employee Assistance Programme.
• Tuition Reimbursement.
• Work culture centered on innovative disruption.
• An entrepreneurial mindset and independent thought encouraged.
• Collaboration and innovative solutions to complex challenges.
• Opportunities for growth within the organization.
• Benefits may vary by location.
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