Assurance Associate (m/w/d) - AI & Data Innovation Engineer

You will be embedded in assurance activities and collaborate directly with practitioners to turn complex problems into practical digital solutions. You will identify and shape high-value opportunities, build prototypes and minimum viable products, and help move validated solutions into productive use. The focus is not innovation for its own sake, but technology that improves assurance quality, coverage, productivity and risk transparency.

You combine modern software engineering with hands-on experience in generative and agentic AI. Working closely with Product Owners and DevSecOps partners, you contribute across the solution lifecycle, from discovery, requirements and architecture to development, integration, deployment and continuous improvement. You build solutions with reuse in mind, creating scalable components that can be applied to similar challenges across different areas of assurance.

• Discover and prioritize: Work directly with assurance teams to understand complex business challenges, assess digitalization potential and independently identify and prioritize software, data and AI use cases with clear business value
• Shape the digital landscape: Translate functional needs from Audit, Internal Controls, Enterprise Risk Management and Project Excellence into scalable solution concepts and actively shape the strategic digitalization and technology landscape for FIN A.
• Engineer solutions end to end: Take technical ownership from solution design and architecture through development and integration to productive deployment, ensuring secure, scalable, maintainable and user-centered solutions.
• Build with modern technologies: Lead and coordinate the development of modular applications, interfaces and data flows using technologies such as Python, Snowflake, Azure cloud and low-code platforms such as Mendix.
• Shape and apply AI strategically: Co-create the AI strategy for FIN A and translate it into practice by designing and introducing GenAI applications, AI agents and agentic workflows with appropriate governance, guardrails and control mechanisms.
• Move solutions into production: Drive validated prototypes and MVPs towards production-ready solutions together with Product Owners and DevSecOps partners, making sound technical decisions and actively managing dependencies, risks and trade-offs.
• Design for scale and reuse: Define reusable solution patterns and components that can be transferred across assurance teams and integrated sustainably into the existing application landscape.
• Drive adoption and measurable impact: Enable data- and AI-driven transformation across FIN A, measure delivered business value, continuously improve solutions and systematically transfer knowledge and capabilities to assurance teams.

Hybrid (Remote/Office)

• Lisbon - Lisboa - Portugal

Technology, Innovation and Enablement Practice - Siemens Assurance (FIN A)

Work side by side with assurance teams working on audit, internal controls, enterprise risk management and project excellence governance, understand real business challenges and rapidly engineer secure, scalable and reusable software, data and AI solutions that deliver measurable impact

• Measurable improvements in assurance quality, coverage, productivity or risk transparency
• Solutions that move beyond prototypes, are used in production and are continuously improved.
• Secure, scalable and reusable software, data and AI components.
• Strong user adoption and sustainable capability building across assurance teams.