Principal AI/ML Architect
Principal ML Architect (Client-Facing, Agentic AI) - Portugal Location: Portugal (Fully Remote) Build the Next Generation of AI Products with TensorOps TensorOps is an applied-machine-learning studio that helps organisations across Europe and North America design, train, and deploy production-grade GenAI systems. Our team blends research depth with pragmatic engineering, and we’re looking for a seasoned architect to lead our client engagements and technical teams in Portugal. What We’re Working On Conversational Copilots: Intelligent assistants that augment and empower knowledge workers. Autonomous Agentic Systems: Sophisticated agents that perform complex research, analysis, and actions for market-leading platforms. High-Performance Search & Recommendation: Building large-scale, low-latency recommender systems, ad-tech platforms, and search solutions. Decision-Support Tools: High-stakes systems for critical applications in healthcare, finance, and e-commerce. Core Stack Python, FastAPI, Docker TensorFlow, LightGBM, CatBoost Open-source & Commercial LLMs LangChain / LangGraph, Langfuse, LlamaIndex MLFlow, Kubeflow AWS and GCP The Role As a Principal ML Architect, you will be the senior technical leader for our most ambitious client projects. You will act as a trusted advisor to clients, a mentor to your engineering team, and the chief architect for complex AI systems. This is a hands-on leadership role that combines deep technical expertise with strategic client management. You will: Lead Technical Strategy & Architecture: Partner with clients to understand their core business challenges and design sophisticated, scalable solutions leveraging machine learning, search, and agentic AI paradigms. Manage Client Engagements: Serve as the primary technical point of contact for client stakeholders, translating complex concepts, managing expectations, and ensuring project success from a technical and business perspective. Lead & Mentor Engineering Teams: Guide a team of talented ML engineers, fostering a culture of excellence, providing technical direction, and taking ultimate responsibility for project delivery. Drive Innovation: Move beyond conventional ML to architect and implement cutting-edge agentic workflows, agent-based modeling, multi-agent systems, and complex RAG pipelines that deliver transformative value. Oversee the Full Project Lifecycle: Steer projects from initial discovery and architectural design through to deployment, monitoring, and iteration, ensuring solutions are robust, efficient, and production-ready. About You 8+ years of professional experience in machine learning and software engineering, with a proven track record of architecting and delivering large-scale, production-grade AI/ML systems. Significant client-facing experience is essential. You are comfortable and effective in a consulting or architectural role, capable of leading technical discussions with C-level executives and engineering teams alike. Pro...