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AI Process Engineer (m/f/d)

Vacature ID
492517
Geplaatst sinds
23-jan-2026
Organisatie
Global Business Services
Vakgebied
Research & Development
Bedrijf
Siemens S.A.
Ervaringsniveau
Experienced Professional
Type functie
Fulltime
Werkvorm
Hybride (plaatsonafhankelijk/kantoor)
Type contract
Vast contract
Locatie(s)
  • Amadora - - Portugal

Siemens Global Business Services (GBS) enables Siemens units worldwide and external customers to accelerate their business transformation into a sustainable and digital future.

Our portfolio comprises services driven by expertise and the latest technology – with a strong focus on innovation and digitalization in areas like Finances, Business Administration, Human Resources, Procurement, Sales and After-Sales. 

In our GBS Western Europe and Africa Hub we are already more than 1500 connected people, from over 50 different nationalities spread across 14 countries. If you value diversity and innovation, you’ll feel right at home here!

Discover our purpose, culture, and what makes GBS unique! Check out here!

Our MarCom, Sales and Delivery Services (MSD) business line offers expertise in Marketing, Communication, Sales, and Delivery. We deliver services ranging from sales enablement, order-to-delivery processes up to after-sales support. With our end-to-end services we empower sellers, streamline operations, and enable businesses to deliver outstanding customer experiences across all touchpoints.


Are you ready to be part of the change? Come join us!  ⭐


We are seeking an innovative and analytical AI Process Engineer to lead the integration and optimization of Artificial Intelligence solutions across our Marketing, Communication, Sales/After-sales, Order Management and Collection functions. The successful candidate will possess a robust combination of technical expertise in AI/ML, established process engineering methodologies, and comprehensive skills for data-driven analyses towards process improvements. This position is critical for identifying AI application opportunities, designing scalable AI-powered workflows, and ensuring their successful implementation and continuous improvement to maximize efficiency, customer value, and business performance.


Your mission will be…

  • AI Strategy & Opportunity Identification: Collaborate with business stakeholders in Marketing, Communication, Sales, Order and Collection Management to identify operational inefficiencies and strategic opportunities for AI/ML application (e.g., lead scoring, content personalization, sales forecasting, automated customer support, order processing optimization, cashflow forecasting).
  • Process Design & Optimization: Re-design, re-model, and optimize end-to-end business processes and data flows by integrating AI/ML components. This includes defining data flows, integration points, decision logic, and human-in-the-loop interactions for AI-driven workflows.
  • Solution Architecture & Implementation Support: Partner with data scientists, software engineers, and IT teams to translate AI process designs into technical specifications and provide support throughout the development, testing, and deployment phases of AI solutions.
  • Performance Monitoring & Improvement: Establish Key Performance Indicators (KPIs) and monitoring frameworks for AI-driven processes. Analyze performance data to identify areas for improvement and implement iterative enhancements to models and workflows to optimize impact and efficiency.
  • Data Governance & Quality: Collaborate with data management teams to ensure the availability, quality, and ethical utilization of data required for (Agentic) AI solutions and deployment within the above-mentioned business domains.
  • Documentation & Training: Develop comprehensive documentation for AI-powered processes and deliver training and support to end-users and stakeholders to ensure effective adoption and utilization.
  • Technological Advancement: Maintain current knowledge of advancements in AI/ML technologies, process automation, and industry best practices to facilitate continuous innovation within the team.

We are looking for someone with…

  • Education: Bachelor's or Master's degree in Engineering, Computer Science, Data Science, Business Analytics, or a closely related quantitative field.
  • Process Engineering: Proven experience in process analysis, design, optimization, and re-engineering methodologies (e.g., Lean, Six Sigma, BPMN).
  • AI/ML Fundamentals: Demonstrated practical application of AI/ML concepts, algorithms (e.g., supervised, unsupervised learning, NLP, computer vision).
  • Technical Proficiency:
    • Proficiency in programming languages commonly used in AI/ML (e.g., Python, R).
    • Familiarity with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
    • Hands-on experience with advanced AI techniques such as Agentic AI.
    • Proven Experience with data retrieval, manipulation and analysis across multiple data sources, including Snowflake and other relational databases, using tools such as SQL and Python (e.g. pandas).
    • Understanding of cloud platforms (e.g., AWS, Azure, GCP) for AI deployment.
  • Analytical & Problem-Solving Skills: Demonstrated ability to analyze complex problems, identify root causes, and design effective, data-driven solutions.
  • Data Analysis & Visualization: Proficiency with data analysis & data visualization tools (e.g., Power BI) for effective insight generation and presentation.
  • Communication & Collaboration: Excellent communication skills for articulating complex technical concepts to non-technical stakeholders and fostering effective collaboration across cross-functional teams.
  • Project Management: Experience contributing to or managing projects, with demonstrated ability to prioritize tasks and meet deadlines.


Nice to Have

  • Domain Specific Experience: Prior experience applying AI in marketing automation, CRM systems, sales enablement, lead management, account receivables or e-commerce.
  • Process Automation Tools: Experience with Robotic Process Automation (RPA) tools or other Business Process Management (BPM) suites.
  • Certifications: Relevant certifications in AI/ML, process improvement, or cloud platforms.


What We Offer

  • Belong & Innovate: Work in diverse teams where every idea matters and innovation grows through collaboration and trust.
  • Flexibility that Works: Hybrid model, flexible hours, and a home office budget — because balance fuels performance.
  • Health & Well-being: Comprehensive health insurance, mental health support, and active sports communities to keep you feeling your best.
  • Grow Without Limits: Access world-class learning platforms, mentoring, and continuous development opportunities.
  • Purpose & Perks: Contribute to sustainability and volunteer initiatives, enjoy partner discounts, and take advantage of our convenient shuttle service.

Please attach your CV in English to your application.

#Siemens

Siemens is deeply committed to fostering a diverse and inclusive environment. We are proud to be an equal opportunity employer and strongly encourage applications from a wide array of talented individuals!