Chief Artificial Intelligence Architect

beBeeArtificialIntelligence; Barcelona; Híbrido; EUR 70.000 - 90.000; Jornada completa

Descripción de la vacante

A technology company in Barcelona is seeking an AI Solution Architect to lead the design and delivery of core intelligence solutions. This role requires extensive experience in AI/ML systems, especially in regulated environments, and proficiency in modern tools like Python and AWS. Join a rapidly growing team working at the forefront of Pharma and MedTech automation, with competitive compensation and flexible work arrangements.

Servicios

Competitive compensation

Flexible work setup

Access to conferences and learning budgets

Formación

• 5+ years of experience architecting and developing AI / ML systems in a production-grade environment.
• Strong experience with LLMs, RAG pipelines, and knowledge graph design.
• Proficiency in modern AI / ML tooling.

Responsabilidades

• Strategic planning and roadmap development.
• Architecting and building data and AI cloud-based infrastructure.
• Developing real-time orchestration patterns.

Conocimientos

Experience with AI/ML systems

Proficient in Python and JavaScript

Familiarity with retrieval systems

Experience with LLMs and RAG pipelines

Herramientas

AWS

PyTorch

TensorFlow

Docker

Descripción del empleo

Job Opportunity

We're building the control layer for agentic automation to govern the workforce of the future. Our technology enables companies to inject rule-based behavior into autonomous AI agents, translating regulatory and operational directives into structured guidance for intelligent agents.

The rules are encoded into retrieval-augmented knowledge graphs that integrate seamlessly into any language model. This approach aims to eliminate compliance overhead entirely by replacing the compliance function with a real-time control layer governing AI agents on the ground.

Our primary focus is on the pharmaceutical industry, where thousands of legacy SOPs still govern mission-critical processes. These rules ensure quality, traceability, and patient safety.

We're a post-revenue company serving over 1000 quality leaders in international Pharma and MedTech companies. Our team is growing rapidly, and we're backed by leading VCs, including Capnamic and 14 Peaks Capital.

Job Role : AI Solution Architect

As our AI Lead Engineer, you'll shape the design and delivery of the core intelligence layer behind our platform. You'll architect and engineer solutions that are foundational to how our technology scales across industries.

Key Responsibilities :

• Strategic Planning and Roadmap Development
• Architecting and building data and AI cloud-based infrastructure on AWS
• Developing real-time orchestration patterns to embed logic into agent frameworks such as LangGraph, LangChain, CrewAI, and Autogen
• Designing scalable and modular components using vector databases, graph databases, semantic search, and transformer-based models

Requirements & Qualifications

To be successful in this role, you should have :

5+ years of experience architecting and developing AI / ML systems in a production-grade environment, preferably in regulated settings

Strong experience with LLMs, RAG pipelines, and knowledge graph design

Proficiency in modern AI / ML tooling : Python, JavaScript, LangGraph, LangChain, PyTorch, TensorFlow, OpenAI APIs, Hugging Face, etc.

Deep understanding of retrieval systems, semantic embeddings, vector databases (e.g., FAISS, Weaviate, Pinecone), and orchestration frameworks

Perks & Compensation

Competitive compensation with a meaningful equity stake, flexible work setup, and direct exposure to industry-defining challenges in Pharma, MedTech, and enterprise automation.

Access to conferences, learning budgets, and the tools you need to stay ahead of the curve.

Stack You'll Work With

LangGraph, LangChain, CrewAI, Autogen, OpenAI APIs, LlamaIndex, Python, JavaScript, FastAPI, Neo4j, FAISS, Weaviate, AWS, Docker, Postgres, GitHub Copilot, Notion