Remote Principal AI/ML Architect - Client Leadership

TensorOps Consulting Services Ltd; Valencia; Remote; EUR 110,000 - 150,000; Full time

Job summary

TensorOps is seeking a Principal ML Architect to lead client engagements and technical teams in Spain. You will define architecture for cutting-edge AI systems, mentor engineers, and drive agentic workflows across projects.

You will collaborate with C-level stakeholders, shape technical strategy, and ensure scalable, production-ready solutions leveraging LLMs, RAG, and modern ML platforms. This is a hands-on leadership role with global client impact.

Qualifications

• 8+ years in ML and software engineering with production-grade AI/ML systems.
• Significant client-facing consulting/architectural experience.
• Proven leadership and project delivery of complex software projects.
• Deep expertise in Python and data science ecosystem (Pandas, NumPy, Scikit-learn).
• Expert-level understanding of modern AI systems, LLMs, agentic design patterns (LangChain/LangGraph), and RAG/fine-tuning.
• Strong cloud infra design for scalability, reliability, and low latency.

Responsibilities

• Lead Technical Strategy & Architecture: design sophisticated, scalable ML/AI solutions with clients.
• Manage Client Engagements: act as primary technical contact for stakeholders.
• Lead & Mentor Engineering Teams: guide ML engineers and ensure delivery.
• Drive Innovation: implement agentic workflows and multi-agent pipelines.
• Oversee the Full Project Lifecycle: from discovery to deployment and monitoring.

Skills

Client facing

Leadership

Technical architecture

Python data science

Executive communication

Project management

LangChain/LangGraph

Cloud architecture (AWS/GCP)

Education

BSc/MS/PhD in CS/Engineering

Tools

Python

Pandas/NumPy/Scikit-learn

LangChain/LangGraph

AWS

GCP

Docker

FastAPI

LLMs & RAG

Job description

TensorOps is seeking a Principal ML Architect to lead client engagements and technical teams in Spain. You will define architecture for cutting-edge AI systems, mentor engineers, and drive agentic workflows across projects.

You will collaborate with C-level stakeholders, shape technical strategy, and ensure scalable, production-ready solutions leveraging LLMs, RAG, and modern ML platforms. This is a hands-on leadership role with global client impact.