AI Solutions Architect

Terra Quantum

5d • Remote

About The Position

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.
This position combines technical leadership with customer engagement. You will act as the primary technical contact, gather requirements, run workshops, and present solutions to technical and non-technical stakeholders. You will coordinate with engineering, research, and business teams to ensure clear specifications and successful delivery.
Privacy and data governance are central. You will define standards with internal stakeholders and ensure compliance with GDPR, CCPA, and other customer-specific regulations. You will apply ethical principles in AI design, address bias and fairness concerns, and communicate these standards clearly to customers.
The role is remote with some travel for customer meetings and project delivery.

Requirements

• 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.

Nice To Haves

• 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

Responsibilities

• 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.
• 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.

Benefits

• A competitive salary
• Flexible working arrangements

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree