Principal Ai/Ml Architect

TensorOps Consulting Services Ltd; Portugal; On-site; EUR 120,000 - 180,000; Full time

Job summary

TensorOps é um estúdio de ML aplicado que projeta, treina e implementa sistemas GenAI para clientes na Europa e América do Norte. Procuramos um arquiteto principal para liderar engagements com clientes em Portugal, moldar a visão técnica e guiar equipes de engenharia.

Você atuará como consultor técnico sênior, mentor e arquiteto-chefe, com foco em soluções escaláveis, baixa latência e integração de LLMs, LangChain e pipelines RAG para problemas reais em setores como saúde, finanças e e-commerce.

Qualifications

• 8+ anos de experiência em ML e software, com entrega de sistemas em produção.
• Experiência significativa com clientes e liderança técnica.
• Conhecimento profundo de Python e ecossistema de ciência de dados (Pandas, NumPy, Scikit-learn).

Responsibilities

• Liderar estratégias técnicas e arquitetura para projetos de clientes.
• GerirEngajar stakeholders e orientar equipes de ML/engenharia.
• Conduzir inovação em fluxos agentic AI, RAG e pipelines complexos.
• Conduzir o ciclo de vida do projeto desde descoberta até deployment e monitorização.

Skills

Liderança técnica

Client-facing

Arquitetura ML

Python

Education

BSc/MS/PhD em CS ou Engenharia

Tools

Python

FastAPI

Docker

TensorFlow

LightGBM

CatBoost

LLMs (Open-source & Commercial)

LangChain/LangGraph

Langfuse

LlamaIndex

MLFlow

Kubeflow

AWS

GCP

Job description

Principal AI/ML Architect

Empresa : TensorOps Tipo de Emprego : Periodo Integral Remote / Work from Home

Descrição do Emprego - Principal AI/ML Architect

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

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.