Senior AI Architect - AI-native Systems & MLOps

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

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.