Solution Architect Manager

About Multiverse Computing

Multiverse is a well-funded, fast-growing deep-tech company founded in 2019. We are the largest quantum software company in the EU and have been recognized by CB Insights (2023 and 2025) as one of the 100 most promising AI companies in the world.

With 180+ employees and growing, our team is fully multicultural and international. We deliver hyper-efficient software for companies seeking a competitive edge through quantum computing and artificial intelligence.
Our flagship products, CompactifAI and Singularity, address critical needs across various industries:

• CompactifAI is a groundbreaking compression tool for foundational AI models based on Tensor Networks. It enables the compression of large AI systems—such as language models—to make them significantly more efficient and portable.
• Singularity is a quantum- and quantum-inspired optimization platform used by blue-chip companies to solve complex problems in finance, energy, manufacturing, and beyond. It integrates seamlessly with existing systems and delivers immediate performance gains on classical and quantum hardware.

You’ll be working alongside world-leading experts to develop solutions that tackle real-world challenges. We’re looking for passionate individuals eager to grow in an ethics-driven environment that values sustainability and diversity.

We’re committed to building a truly inclusive culture—come and join us.

Position

We are looking for a talented Manager- Solutions Engineering to join our pre-sales team and bridge the gap between our technology and our customers’ needs, crafting innovative, scalable, and robust AI-powered solutions.

• Lead a team of pre-sales and solutions engineers to engage with our potential customers and develop the best solutions for their requirements.

• Project manage all pre-sales requests and team workload while prioritising competing needs and priorities.

• Engage with customers, product teams, and engineers to design and deliver AI/ML solutions that solve real-world business challenges.

• Translate complex business requirements into architecture and design for AI models, data pipelines, and deployment strategies.

• Lead discovery sessions and technical workshops with clients to understand their data, systems, and AI maturity.

• Define end-to-end solution architectures, including data ingestion, feature engineering, model training & serving, monitoring, and MLOps.

• Provide thought leadership on best practices for scalable, ethical, and explainable AI.

• Stay on top of the latest trends in AI, cloud, and edge computing to inform product and solution design.

• Function effectively in a fast-paced, high-energy market segment and successfully balance multiple projects (Sales opportunities, enterprise RFPs, SME programs, internal enablement, etc.).

Your qualification

• 7+ years of proven experience as a Solutions Architect, ML Engineer, or similar role delivering AI/ML projects at scale.

• 2+ years of proven experience leading engineering teams of 5+ members.

• Solid understanding of AI/ML concepts: supervised and unsupervised learning, LLMs, NLP, computer vision, and model lifecycle management.

• Strong knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (e.g., SageMaker, Vertex AI, AzureML).

• Experience designing data architectures (batch & streaming) and working with big data technologies.

• Familiarity with MLOps tools and practices: CI/CD, monitoring, orchestration frameworks (e.g., Kubeflow, Flyte, MLflow).

• Excellent communication and presentation skills, able to interface effectively with technical and non-technical stakeholders.

• Bachelor’s or master's degree in computer science, Data Science, Engineering, or related field.

• Traveling: Must be available to travel as needed for meetings, conferences, and project requirements.

• Languages: proficient in Spanish & English

Preferred Qualifications

• Experience with AI model optimization, quantization, or deployment to edge devices.

• Experience with Computer Vision models

• Knowledge of data privacy and ethical considerations in AI.

• Hands-on coding skills in Python, SQL, and familiarity with ML libraries and frameworks (PyTorch, TensorFlow, Hugging Face).

What we offer

• Indefinite contract.

• Equal pay guaranteed.

• Variable performance bonus.

• Signing bonus.

• We offer work visa sponsorship (If applicable).

• Relocation package (if applicable).

• Private health insurance.

• Eligibility for educational budget according to internal policy.

• Hybrid opportunity.

• Flexible working hours.

• Language classes and discounted lunch options

• Working in a high paced environment, working on cutting edge technologies.

• Career plan. Opportunity to learn and teach.

• Progressive Company. Happy people culture

Additional details

As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply.