AI Architect (Hands-on)

  • Location

    Spain

  • Remote

    100%

  • Full remote
  • Wellbeing pack
  • Flexible working hours

We are looking for an AI Architect to join Sngular’s AI community and participate in strategic projects focused on the design, development, and scaling of Artificial Intelligence solutions across different industries.

🌱 Sngular Commitment
As part of our commitment to equity under our Equality Plan, at SNGULAR we foster a plural culture where talent has no labels and everyone has equal opportunities. We work with respect, humility, and teamwork, convinced that diversity makes us stronger.

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What will you do?

As an AI Expert or Architect, you will be responsible—together with the team—for designing solutions based on Generative AI. This requires a solid technical background and a hands-on approach, with proven experience in implementing language models and AI agents in various projects, including deploying real-world, moderately complex models to production.

Responsibilities

    • Design scalable AI architectures for production environments, including Generative AI and Machine Learning solutions.
    • Define end-to-end AI solution patterns, from data ingestion to model deployment and monitoring.
    • Architect and implement LLM-based systems, including RAG pipelines, agents, and orchestration frameworks.
    • Define strategies for model lifecycle management, including training, deployment, monitoring, and retraining.
    • Design data and feature pipelines for AI/ML systems in cloud environments.
    • Ensure AI solutions are secure, scalable, observable, and cost-efficient.
    • Collaborate with Data, Software, and Cloud teams to integrate AI capabilities into existing platforms.
    • Define standards and best practices for AI governance, evaluation, and responsible AI usage.
    • Evaluate emerging AI technologies and define their applicability in real business use cases.
    • Support teams in designing prompt engineering strategies, evaluation frameworks, and AI experimentation approaches.
    • Act as a technical reference for AI architecture decisions across projects.

How will you do it?

  • Machine Learning & Deep Learning Models – Experience using and integrating generative models such as GPT, Claude, Mistral, or LLaMA. Knowledge of advanced architectures like Transformers, CNNs, GANs.

  • Advanced Prompting Techniques – Proficiency in prompt engineering (Chain-of-Thought, ReAct, Tree-of-Thought, etc.).

  • AI Frameworks – Mastery of TensorFlow, PyTorch, or similar tools.

  • Natural Language Processing (NLP) – Experience with embeddings (Word2Vec, FastText, BERT), vector search, and fine-tuning of pre-trained models.

  • Generative AI Development – Experience orchestrating LLMs and complex conversational agents using tools like LangChain, LangGraph, DSPy, CrewAI, or Google ADK. Knowledge of conversational flow design, structured content generation, and agent-based reasoning systems.

  • LLM Monitoring & Evaluation – Familiarity with observability tools and techniques for continuous model improvement in production, such as LangSmith, LangFuse, or similar tools for prompt tracking, debugging, and performance evaluation.

  • Large-Scale Data Management – Experience with structured and unstructured databases, Data Lakes, and vector databases such as FAISS, Pinecone, Weaviate, ChromaDB.

  • Model Optimization & Deployment – Knowledge of techniques like quantization and distillation, and efficient inference frameworks like vLLM, Triton, or ONNX Runtime. Familiarity with containerization and deployment in CUDA environments.

  • Cloud & DevOps for AI – Experience with Azure, AWS, or GCP, using tools such as SageMaker, Vertex AI, Azure AI Foundry, and MLOps frameworks like Kubeflow, MLflow, Metaflow, BentoML.

  • Integration & APIs – Development of APIs for LLMs, third-party tool integration, and pipeline implementation with FastAPI, Flask, or gRPC.

  • Advanced Programming – Expert-level proficiency in Python, with experience building scalable and robust systems.

Technologies and Skills

Mandatory

  • Python

    Advanced

  • Generative AI Expertise ( GPT, Claude, Mistral, Llama)

    Advanced

  • Core AI Frameworks (TensorFlow, PyTorch or similars)

    Advanced

  • LLM Frameworks & Agents / RAG Systems (LangChain, LangGraph)

    Advanced

  • Cloud & MLOps for A (Azure, AWS o GCP, SageMaker, Vertex AI, Azure AI Foundry, Kubeflow, MLflow, Metaflow, BentoML)

    Advanced

  • Data Handling at Scale (SQL y NoSQL, FAISS, Pinecone, Weaviate, ChromaDB)

    Advanced

Ideal

  • Computer Vision

    Intermediate

  • NLP

    Intermediate

Skills

  • Proactivity

  • Ability to work in team in diverse

  • Analytical thinking

  • Technical Leadership

  • Innovation & Research

  • High English Proficiency (C1)

Benefits

Budget for training

Welcome pack

Wellbeing pack

2 days for technical events

December 24th and 31st

Celebrate Your Birthday: Day Off

Free unlimited access to UDEMY

Option to choose your team (Windows/Mac)

Career plan

Tutti fruties every Friday

Additional bonuses: recommendations, being a speaker and writing technical articles.

Teambuilding Dynamics and Events

Inspire us with your talent!

If you are interested in developing your career in our teams, send your CV and join us to face the exciting challenges that await us.

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We appreciate your interest in joining our team. We will review your application and get back to you soon.

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