Principal ML Architect (Client-Facing, Agentic AI) - Spain

Location: Spain (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 Enginee

📌 Principal AI/ML Architect (España)
🏢 TensorOps
📍 España