AI Solution Architect (m/f/d) Porto

Create a better #Tomorrow
With
Us

At Siemens, we build technology solutions to shape the world we live in. We transform industries and societies by combining the real and digital worlds. With over 300, 000 of the world’s most forward‑thinking minds and the power of a presence in more than 190 countries, we make a truly global impact.

At the Portugal Tech Hub, we take on challenges to make life easier, safer, and more sustainable for us and generations to come. We bring value to the business digitalization transition, from Portugal to the world, in areas such as Artificial Intelligence, Analytics & Business Intelligence, Application Lifecycle Management, Cybersecurity, IT Infrastructure Management, IT Project & Service Management, IT Strategy, User Experience, and many more.

With a decade of history and around 1, 600 experts, the Portugal Tech Hub is the home of the new technologists – Dream Builders, Impact Creators & Future Makers.

Are you one of them? Come join us!

Within the AI Service of the Data Intelligent & Automation Value Center, our mission is to architect and deliver transformative AI solutions that empower Siemens to become a truly data‑driven organization.

Your mission will be…

Architecture & Design

• Design and implement end‑to‑end AI solution architectures (Classic ML, Gen
  AI, and Agentic AI) ensuring scalability, security, compliance and cost optimization.
• Define AI solution architectures leveraging Azure AI Services or AWS AI/ML stack, and related ecosystem tools.
• Integrate AI capabilities into enterprise systems and workflows using APIs, microservices, and containerised deployments.

Technical Leadership & Dev
Ops Guidance

• Provide technical leadership and best practices to Dev
  Ops and MLOps teams for deploying and monitoring AI workloads.
• Oversee automation pipelines (CI/CD) for data and model lifecycle management.
• Guide the use of infrastructure‑as‑code tools like Terraform, ARM, or Cloud
  Formation for AI environments.

Hands‑on Development & Data Science

• Develop proof‑of‑concepts and prototypes for AI/ML models and generative applications (e. g. , LLMs, RAG systems, autonomous agents).
• Collaborate with data scientists and engineers to prepare data, train models, and optimise performance.
• Evaluate and fine‑tune pre‑trained models using domain‑specific data.

Consulting & Stakeholder Communication

• Translate complex technical concepts into clear, business‑oriented language for non‑technical stakeholders.
• Collaborate with product owners, business analysts, and IT architects to align AI initiatives with business strategy.
• Conduct workshops, presentations, and demos to communicate AI solution value and feasibility.

Governance & Best Practices

• Ensure compliance with ethical AI principles, data privacy regulations, and corporate standards.
• Contribute to the development of internal AI frameworks, design patterns, and reusable components.
• Stay abreast of emerging AI technologies, frameworks, and cloud services.

We are looking for…

Required Qualifications & Skills:

• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.
• Experience: Minimum of 3 years in roles such as solution architecture, AI/ML, data science, or software architecture.
• Technical expertise:
  • Classic Machine Learning & Deep Learning frameworks (e. g. , Tensor
    Flow, Py
    Torch, Scikit‑learn)
  • Generative AI & Large Language Models (LLMs) (e. g. , Open
    AI, Anthropic, Hugging
    Face, Azure Open
    AI Service)
  • Agentic AI: Multi‑agent orchestration frameworks (e. g. , Lang
    Chain, Semantic Kernel, Crew
    AI)
  • Cloud AI/ML platform services (e. g. , Azure Machine Learning, AWS Sage
    Maker, Bedrock, Open
    AI Service)
  • AI Deployment: MLOps, Dev
    Ops, and CI/CD pipelines.
• Programming skills: Strong programming skills in Python (preferred), SQL, and relevant scripting languages.

Beneficial Qualifications:

• Relevant Certifications:
  • Agile Architecture: SAFe Architect, TOGAF Agile, or equivalent
  • Cloud AI/ML: Azure AI Engineer Associate, AWS Certified Machine Learning – Specialty, Azure Solutions Architect Expert
• Advanced AI techniques: Experience with vector databases, prompt‑engineering, and retrieval‑augmented generation (RAG) systems.
• Responsible AI & Governance: Familiarity with responsible AI frameworks and governance practices, ensuring ethical and compliant AI development.

What You Can Expect From Us…

A hybrid and flexible working model to promote a better work‑life balance, along with a budget for home office support and the opportunity to do 16 hours a year of volunteer work. A health insurance, access to our on‑site medical centre, plus the chance to join sports groups.

In addition, you'll have access to online learning platforms and discounts with our partners. A shuttle bus to commute to the facilities and the possibility of financial support to your studies.

What makes us proud as an employer:

• Merco – Companies and Leaders with the Best Reputation in Portugal (#1 Tecnology/Manufacturing)
• Forbes – World’s Best Employers (#1 Engineering & Manufacturing)
• Linked
  In – Linked
  In Top Companies (#2)
• On
  Strategy – REPSCORE 2024: Brands’ Reputation in Portugal (#1 Engineering & Electronic Services)
• Fortune – World’s Most Admired Companies (#1 Industrial Machinery)
• Teamlyzer – Company with the Best Interviews (#1 Technology)

Please attach your CV in English.

#Siemens #Portugal
Tech
Hub

Siemens is committed to creating a diverse environment and is glad to be an equal opportunity employer. We strongly encourage applications from a diverse talent pool!