AI Solutions Architect
Remote · United States
Job Summary
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 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.
Required Qualifications
- 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 (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
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