AI Solutions Architect, Terra Quantum

• The role requires strong skills in model development, deployment, and evaluation
• 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

Desirable

• We are hiring an AI Solutions Architect to design and implement machine learning and LLM solutions for customer projects
• 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
• 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