AI Architect | Lisbon | Hybrid

Decskill; Portugal; Híbrido; EUR 90 000 - 130 000; Tempo integral

Resumo da oferta

Decskill is seeking a senior AI Mastermind Architect to shape AI-native software in a hybrid work setting. You will define AI and technology strategies, architect end-to-end AI systems, and drive production-ready pipelines across ML/DL and LLM contexts, collaborating with international teams.

As part of a global group, Decskill offers diverse challenges and opportunities, with a focus on scalable AI solutions, observability, and an enterprise-grade AI operating model.

Qualificações

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related field.
• 7+ years of professional experience in software engineering, digital platforms, technology architecture, or large-scale technology delivery.
• Experience defining or executing AI or technology strategies in complex environments.
• Strong understanding of Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI.
• Hands-on experience with Large Language Models (LLMs).
• Strong understanding of MLOps and AI lifecycle management.
• Experience with model monitoring and observability.
• Fluency in English is mandatory.

Responsabilidades

• Define and drive AI and technology strategies aligned with business and software engineering objectives.
• Architect and deliver end-to-end AI systems and pipelines, transforming complex requirements into scalable, production-ready solutions.
• Design architectures for Machine Learning, Deep Learning, and Generative AI applications.
• Develop, fine-tune, and operationalise AI/ML models for production environments.
• Design and implement robust MLOps and AIOps practices, including automated training, deployment, monitoring, and lifecycle management.
• Establish CI/CD pipelines for AI and ML workloads, ensuring reliable and repeatable delivery.
• Evaluate and optimise AI models and services for performance, accuracy, scalability, and efficiency.
• Work with Large Language Models (LLMs) and identify appropriate applied usage patterns for enterprise environments.
• Define approaches for model evaluation, comparison, output validation, and AI guardrails.
• Establish AI observability and monitoring practices covering model and system performance.
• Collaborate with software engineers, data specialists, product teams, and business stakeholders to deliver AI-driven solutions.
• Balance innovation, technical feasibility, risk, security, privacy, and cost when designing AI solutions.
• Contribute to the definition of AI engineering standards, reusable architectures, and best practices.
• Support the adoption of cloud-based AI technologies and services in large-scale environments.
• Drive continuous improvement of AI development and operational practices.
• Act as a technical bridge between business strategy, technology architecture, engineering teams, and AI capabilities.
• Provide technical leadership and help teams adopt new AI-native engineering paradigms.

Conhecimentos

AI strategy development

AI/ML systems design

LLMs usage

MLOps & AI lifecycle

CI/CD for AI

DevOps practices

Cross-functional collaboration

English communication

Formação académica

Bachelor’s or Master’s degree in Computer Science / Software Engineering / AI / Data Science

Ferramentas

AWS

AI platforms

Descrição da oferta de emprego

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 an AI Mastermind Architect for a project with a hybrid working model.

This is a senior architecture role for an experienced technology professional who will help shape how software is designed, built, and operated in an AI-native environment.

What You’ll Do:

• Define and drive AI and technology strategies aligned with business and software engineering objectives.
• Architect and deliver end-to-end AI systems and pipelines, transforming complex requirements into scalable, production-ready solutions.
• Design architectures for Machine Learning, Deep Learning, and Generative AI applications.
• Develop, fine-tune, and operationalise AI/ML models for production environments.
• Design and implement robust MLOps and AIOps practices, including automated training, deployment, monitoring, and lifecycle management.
• Establish CI/CD pipelines for AI and ML workloads, ensuring reliable and repeatable delivery.
• Evaluate and optimise AI models and services for performance, accuracy, scalability, and efficiency.
• Work with Large Language Models (LLMs) and identify appropriate applied usage patterns for enterprise environments.
• Define approaches for model evaluation, comparison, output validation, and AI guardrails.
• Establish AI observability and monitoring practices covering model and system performance.
• Collaborate with software engineers, data specialists, product teams, and business stakeholders to deliver AI-driven solutions.
• Balance innovation, technical feasibility, risk, security, privacy, and cost when designing AI solutions.
• Contribute to the definition of AI engineering standards, reusable architectures, and best practices.
• Support the adoption of cloud-based AI technologies and services in large-scale environments.
• Drive continuous improvement of AI development and operational practices.
• Act as a technical bridge between business strategy, technology architecture, engineering teams, and AI capabilities.
• Provide technical leadership and help teams adopt new AI-native engineering paradigms.

What We’re Looking For:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related field.
• 7+ years of professional experience in software engineering, digital platforms, technology architecture, or large-scale technology delivery.
• Experience defining or executing AI or technology strategies in complex environments.
• Strong understanding of Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI.
• Practical experience designing and delivering production AI systems.
• Hands-on experience with Large Language Models (LLMs).
• Strong understanding of MLOps and AI lifecycle management.
• Experience with model monitoring and observability.

• Strong understanding of modern software engineering and DevOps practices.
• Experience designing and implementing CI/CD pipelines.
• Strong architectural and problem-solving skills.
• Experience working with cross-functional and international teams.
• Excellent communication skills, with the ability to translate complex technical concepts into clear business outcomes.
• Fluency in English is mandatory.

Nice to Have:

• Experience with AWS and cloud-based AI/ML services.
• Experience with AI model comparison and evaluation.
• Knowledge of AI security and privacy.
• Experience with AI FinOps and cost optimisation.
• Knowledge of model quality, output validation, and AI guardrails.
• Experience with Generative AI architectures and LLM application patterns.

• Experience with Agentic AI and AI Agents.
• Familiarity with modern AI/ML platforms and orchestration frameworks.
• Experience operating AI systems at large scale.
• Experience working in Agile/Scrum environments.
• Strong understanding of DevOps and CI/CD practices.
• Willingness to occasionally travel internationally.
• Willingness to support production systems outside standard working hours when required.
• Strong curiosity, resilience, autonomy, and motivation to explore new approaches to software engineering.

Are you looking for an environment that values curiosity and commitment? Here, your contribution has real impact and individual growth is taken seriously.

Find with us the right opportunity to grow!

What you can expect from us

• Long-term projects with national and international context.
• Opportunities to work on cutting-edge AI and software engineering challenges.
• Opportunities to grow technically and professionally.
• A people-first culture, focused on transparency and trust.
• Teams that value autonomy, ownership, collaboration, and innovation.
• An international environment with exposure to large-scale AI initiatives.

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 exclusively on talent, regardless of age, gender, ethnicity, race, nationality, or any other form of discrimination incompatible with human dignity.