Principal AI/ML Architect

TensorOps Consulting Services Ltd; Zaragoza; Remote; EUR 90,000 - 150,000; Full time

Job summary

TensorOps Consulting Services Ltd is seeking a Principal ML Architect (Client-Facing, Agentic AI) for Spain. The role combines senior technical leadership with direct client engagement to design and deliver production-grade GenAI systems.

You will lead architecture, guide engineering teams, and mentor staff while driving innovative agentic workflows and scalable ML solutions across projects. This is a remote, senior-level opportunity with high impact.

Qualifications

• 8+ years in ML and software engineering.
• Significant client-facing experience in consulting or architecture.
• Proven leadership of ML projects and teams.
• Deep Python and data science stack expertise.
• Expertise with LLMs, agentic design patterns, and scalable ML systems.

Responsibilities

• Lead Technical Strategy & Architecture for client projects.
• Manage client engagements and translate complex concepts.
• Lead and mentor ML engineers, ensuring delivery quality.
• Drive innovation with agentic workflows and multi-agent systems.
• Oversee lifecycle from discovery to deployment and monitoring.

Skills

Client facing

Leadership

Project management

Python data science

LLMs expertise

Education

BSc in CS/Engineering

MS or PhD

Tools

Python

FastAPI

Docker

AWS/GCP

LangChain/LangGraph

TensorFlow

Job description

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 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.