Principal AI/ML Architect

TensorOps Consulting Services Ltd; United States; À distance; USD 138 000 - 207 000; Plein temps

Résumé du poste

TensorOps is an applied-machine-learning studio delivering GenAI systems for clients across Europe and North America. We seek a Principal ML Architect in Portugal to lead client engagements and technical teams from a remote setup.

You will shape technical strategy, drive innovative agentic AI, and oversee end-to-end delivery. You should have 8+ years in ML and software engineering, strong Python and cloud experience, and proven client-facing leadership.

Qualifications

• 8+ years of professional experience in machine learning and software engineering, delivering production-grade AI/ML systems.
• Significant client-facing experience, capable of engaging with C-level executives and engineering teams.
• Proven leadership and project management experience leading engineering teams and technical delivery.
• Deep expertise in Python and its data science ecosystem (Pandas, NumPy, Scikit-learn).
• Expert understanding of modern AI systems including LLMs, LangChain/LangGraph, and agentic design patterns.
• Strong architectural foundation in software engineering, MLOps, and cloud infrastructure (AWS/GCP).
• A degree (BSc/MS/PhD) in CS/Engineering or equivalent practical experience.

Responsabilités

• Lead Technical Strategy & Architecture with clients to design scalable ML and agentic AI solutions.
• Manage Client Engagements as the primary technical contact ensuring project success.
• Lead & Mentor Engineering Teams, providing direction and ensuring high-quality delivery.
• Drive Innovation with agentic workflows, multi-agent systems, and RAG pipelines.
• Oversee the Full Project Lifecycle from discovery to deployment and monitoring.

Connaissances

Client-facing

Leadership

Strategic thinking

Python programming

MLOps

Formation

Bachelor's/Master's in CS/Engineering

Outils

Python

FastAPI

Docker

TensorFlow

LangChain

LangGraph

Kubeflow

AWS

GCP

Description du poste

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.