AI Solutions Architect

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.

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-g...