AI Solutions Architect

Terra Quantum AG; San Francisco (CA); On-site; USD 130,000 - 160,000; Full time

Benefits offered by this job

Personal development plan with clear goals

Competitive salary

Flexible working arrangements

Diverse and supportive atmosphere

Job summary

Terra Quantum AG in San Francisco is hiring an AI Solutions Architect. The successful candidate will design and implement machine learning and LLM solutions for customer projects, ensuring reliable system performance and integration across cloud platforms. Strong programming skills in Python and SQL, along with proven customer-facing experience in the US, are necessary.

The position offers a competitive salary, flexible working arrangements, and the opportunity to work in a pioneering field of Quantum Technologies.

Qualifications

• Master's or Ph.D. in Data Science, Machine Learning, Computer Science or related field required.
• Proven experience in data science, ML algorithms, and predictive modeling with production deployment.
• Hands-on expertise with LLMs, including fine-tuning and integration into customer systems.

Responsibilities

• Design and guide deployment of LLM and machine learning solutions in customer environments.
• Serve as the primary technical contact for customer projects and pre-sales guidance.
• Define and enforce standards for privacy, data governance, and ethical AI practices.

Skills

Machine Learning

Data Science

Python

SQL

LLMs

Cloud Deployment (GCP preferred)

Data Governance

Education

Master's or Ph.D. in Data Science, Machine Learning, Computer Science

Tools

TensorFlow

PyTorch

scikit-learn

XGBoost

Transformers

Job description

Overview

We are hiring an AI Solutions Architect to design and implement machine learning and LLM solutions for customer projects. The role requires strong skills in model development, deployment, and evaluation. You will define solution architectures, guide implementation, and ensure systems perform reliably in production. You will support integration into customer environments across cloud platforms, with GCP preferred but not required.

Responsibilities

Overall

• Design, integrate, and guide deployment of LLM and machine learning solutions in customer environments, ensuring scalability and production readiness.
• Serve as the primary technical contact for customer projects, including pre-sales guidance, workshops, presentations, and long-term relationship support.
• Act as a liaison across customers, business development, engineering, research, and compliance teams to align requirements with technical delivery.
• Define and enforce standards for privacy, data governance, and ethical AI practices, ensuring compliance with regulations such as GDPR and CCPA.
• Communicate technical insights clearly to technical and non-technical stakeholders.
• Guide and mentor researchers and engineers while contributing as an individual contributor.
• Manage multiple projects in parallel to ensure quality, scalability, and customer satisfaction.
• Travel as required for customer meetings and project delivery.

Day-to-day

• Engage in customer meetings to gather requirements, provide technical insights, and ensure alignment with project goals.
• Conduct workshops, demos, and briefings for both technical and non-technical stakeholders.
• Translate customer requirements into clear specifications, deliverables, and project documentation.
• Oversee production systems by monitoring model performance and addressing issues such as drift, bias, and fairness.
• Review customer data and conduct privacy and security assessments to ensure compliance with GDPR, CCPA, and ethical AI standards.
• Coordinate with project managers to track schedules, deliverables, and outcomes. Support sales and business development teams with technical proposals, feasibility assessments, and pre-sales discussions.

Qualifications

Required

• Master's or Ph.D. in Data Science, Machine Learning, Computer Science, or related field.
• Proven experience in data science, ML algorithms, and predictive modeling with production deployment.
• Hands-on expertise with LLMs, including fine-tuning and integration into customer systems.
• Strong programming skills in Python and SQL, with experience in ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost, Transformers).
• Cloud deployment experience, with GCP preferred but AWS/Azure expertise valued.
• Experience with multi-cloud and hybrid integration.
• Knowledge of GDPR, CCPA, and data governance best practices.
• Proven customer-facing experience in the US, with the ability to present complex concepts to non-technical stakeholders.
• Startup or high-growth environment experience.

Desired

• Experience in fintech or financial product domains.
• Track record of publications, patents, or public speaking in AI/ML.
• Familiarity with AI fairness, bias mitigation, and explainability frameworks.
• Experience guiding cross-functional teams in technical delivery.
• Experience working with a globally distributed team of diverse academic, business, and scientific backgrounds.

Rewards & Benefits

• An opportunity to work with some of the brightest minds in the pioneering field of Quantum Technologies as well as an experienced and progressive Leadership team
• Gain knowledge of cutting-edge technology developments in science & engineering
• A chance to be part of one of Europe\'s leading technology firms of the upcoming decades
• Welcoming, friendly, and professional colleagues
• A personal development plan with clear goals for advancement
• A competitive salary
• Flexible working arrangements
• A diverse and supportive atmosphere, where innovation and initiative are encouraged

If you are enthusiastic about positively impacting the world and helping to drive the second quantum revolution, let\'s talk!

Terra Quantum is an equal opportunities employer, committed to diversity, inclusion and employee well-being.