Principal AI/ML Architect

Job description

### **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. - **Proven leadership and project management experience.** You have successfully led engineering teams and managed the technical delivery of complex software projects. - **Deep expertise in Python** and its data science ecosystem (e.g., Pandas, NumPy, Scikit-learn). - **Expert-level understanding of modern AI systems.** You have deep, practical experience with Large Language Models (LLMs), agentic design patterns (e.g., LangChain/LangGraph), and classical ML at scale. You can speak with authority on topics like Learning to Rank (LTR), recommender algorithms, RAG, and fine-tuning. - **Strong architectural foundation** in software engineering, MLOps, and cloud infrastructure (AWS/GCP). You know how to design for scalability, reliability, and low-latency. - A BSc/MS/PhD in Computer Science, Engineering, or a related field, or equivalent practical experience that demonstrates your deep expertise. #### **Why TensorOps?** - **Strategic Impact:** Define the technical vision for high-stakes, real-world problems for industry-leading clients. Your work will directly shape client success and our company's reputation. - **Lead Expert Teams:** Guide and collaborate with a team of experienced ML engineers and researchers. Shape our engineering culture and mentor the next generation of talent. - **Shape Our Future:** As a senior leader, you will play a critical role in the direction of our technical offerings and growth. We offer competitive compensation and a clear path for professional and personal development.