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Principal Machine Learning Architect (Client-Facing, Agentic AI)

tensorops • Spain
Remote
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Lead client engagements and technical strategy for advanced AI solutions as the senior architect at TensorOps. Guide and mentor ML engineering teams while overseeing end-to-end delivery of production-grade agentic AI systems. Require 8+ years of ML and software engineering experience, deep Python expertise, and strong client-facing consulting skills.

Key Highlights
Lead technical strategy and architecture for client AI projects
Mentor and manage ML engineering teams
Drive innovation in agentic AI, RAG pipelines, and large‑scale ML systems
Key Responsibilities
Lead technical strategy and architecture by partnering with clients to design scalable AI solutions.
Manage client engagements as the primary technical point of contact, translating concepts and ensuring project success.
Lead and mentor a team of ML engineers, providing technical direction and overseeing delivery.
Drive innovation by architecting agentic workflows, multi‑agent systems, and complex RAG pipelines.
Oversee the full project lifecycle from discovery and design through deployment, monitoring, and iteration.
Technical Skills Required
Python Machine Learning Cloud Computing
Benefits & Perks
Competitive compensation
Fully remote work
Professional and personal development opportunities

Job Description

Spain (Fully Remote)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.
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