AI Architect

Decskill

Braga

Hybrid

EUR 80,000 - 110,000

Full time

6 hours ago
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Job summary

Decskill is seeking an AI Architect to design and implement end-to-end AI pipelines, integrating ML/DL/Generative AI into scalable, production-ready systems. You will collaborate with cross-functional teams to ensure reliable delivery for enterprise clients in hybrid settings.

The role emphasizes hands-on development, optimization, and governance of AI solutions within a dynamic IT consulting environment, supporting national and international projects.

Qualifications

  • 7+ years of experience with software engineering and large-scale technology delivery.

Responsibilities

  • Architect, build, and optimise end-to-end AI pipelines for scalable production solutions.

Skills

AI Architecture
Software Engineering
AI/ML Strategy
LLMs
MLOps
AWS Cloud
Agile

Tools

CI/CD Pipelines
Model Monitoring
Observability Tools

Job description

We are growing. And we are looking for talented people.

At Decskill, we believe that technological excellence is driven by human talent.

We are an IT consulting company with more than 10 years of consolidated experience in the market, focused on building long-term relationships with both our clients and our people. Today, we are a community of over 800 professionals, working from Lisbon, Porto, and Madrid, contributing to impactful technology initiatives.

As part of the Astek Group, we combine a strong local culture with a global presence, being active in around 23 countries across 4 continents. This allows us to offer an international context, diverse challenges, and long-term career opportunities, while staying close to our teams.

We would like to meet a AI Architect for a project with a hybrid working model:

What you’ll do:
AI System Development

Architect, build, and optimise end-to-end AI pipelines, turning complex business and technical requirements into scalable, production-ready solutions.

Develop, fine-tune, deploy, and operationalise machine learning, deep learning, and generative AI models, ensuring high performance and seamless integration into BMW platforms.

AIOps, MLOps & Automation

Design robust CI/CD workflows for AI and ML, automate model training and deployment pipelines, and establish reliable monitoring, reporting, governance, and lifecycle management.

Performance Optimisation

Continuously benchmark and optimise AI models and services for efficiency, accuracy, scalability, and real‑time performance in large-scale environments.

Collaborative Solution Engineering

Work closely with software engineers, data experts, product teams, and other stakeholders to engineer AI-driven solutions aligned with strategic business and technology objectives.

What you’ll bring:
  • 7+ years of experience with a strong background in software engineering, digital platforms, and large-scale technology delivery.
  • Experience defining and executing AI or technology strategies in complex enterprise environments.
  • Strong understanding of AI, Machine Learning, Deep Learning, and Generative AI, combined with a practical, hands‑on mindset.
  • Experience working with Large Language Models (LLMs) and their applied usage patterns.
  • Experience with model monitoring, observability, MLOps tooling, and Agile ways of working.
  • Experience with public cloud platforms, particularly AWS, and related AI/ML technologies and services is a plus.
  • Knowledge of model comparison, AI security, privacy, and FinOps is a plus.
  • Knowledge of model quality, output validation, guardrails, and responsible AI practices is a plus.
What you can expect from us:
  • Long-term projects with national and international context
  • Opportunities to grow technically and professionally
  • A people-first culture, focused on transparency and trust
  • Teams that value ownership, collaboration and stability

Find with us the right opportunity to grow!

Your next challenge might start here.

At Decskill, we are committed to equal opportunities and non-discrimination. We promote a culture of diversity and inclusion, where recruitment and career progression are based solely on talent, regardless of age, gender, ethnicity, race, nationality, or any other form of discrimination incompatible with human dignity.

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