Senior Mechatronik Design Engineer – Halbleiter-Automatisierung (w/m/div.)
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The Enterprise AI Platform team is responsible for defining, building, and scaling the foundational AI capabilities that enable the next generation of products, services, and employee experiences across American Express. Our mission is to accelerate enterprise-wide AI adoption by providing secure, scalable, and trusted platforms, tools, and services that empower teams to build AI-powered solutions responsibly and efficiently.
As AI transforms how software is built and how businesses operate, the Enterprise AI Platform serves as the foundation for AI innovation across the company. We partner across engineering, product, data science, security, infrastructure, architecture, and business teams to enable AI development at enterprise scale.
The Opportunity
We are seeking a Vice President of Responsible AI to define and lead the strategy for embedding responsible AI into the Enterprise AI Platform at American Express.
This executive will ensure governance, risk, and compliance are built into the foundation of the platform, enabling teams across the enterprise to develop and deploy AI solutions safely, securely, and at scale. Rather than operating as a centralized review function, this leader will partner closely with Product, Engineering, Risk, Legal, Compliance, and Information Security to translate enterprise requirements into reusable platform capabilities, automated guardrails, and developer experiences that make the responsible path the easiest path.
Success in this role requires combining deep technical understanding of modern AI platforms with the ability to operationalize governance through platform capabilities that accelerate innovation while meeting enterprise standards.
Platform Strategy & Responsible AI
Define and lead the enterprise Responsible AI strategy, principles, guardrails, governance frameworks, and usage policies.
Develop governance models that embed responsible AI throughout the AI lifecycle.
Translate evolving AI regulations and industry standards into scalable enterprise capabilities.
Establish metrics and reporting to measure governance effectiveness and enterprise adoption.
Platform Governance & Risk Enablement
Partner with Risk, Legal, Compliance, Privacy, and Information Security to translate governance requirements into platform capabilities.
Define technical guardrails, policy enforcement mechanisms, evaluation frameworks, and governance workflows that can be consistently applied across AI use cases.
Continuously evolve platform capabilities to address emerging AI risks, technologies, and regulatory expectations.
Enterprise Leadership
Influence enterprise AI strategy by balancing innovation, developer experience, and responsible AI.
Partner with Product and Engineering leaders to prioritize platform investments that improve both AI velocity and governance.
Represent the Responsible AI platform strategy with executive stakeholders and across the broader AI ecosystem.
12+ years of progressive leadership experience in enterprise technology, AI/ML platforms, product management, software engineering, or technology governance, with experience leading large, cross-functional organizations.
Demonstrated experience building or scaling enterprise platforms, developer tools, AI/ML infrastructure, or other shared technology capabilities.
Experience translating governance, security, privacy, or risk requirements into scalable technical solutions, platform capabilities, or engineering practices.
Strong understanding of modern AI technologies, including large language models (LLMs), foundation models, agentic AI, model lifecycle management, and AI development workflows.
Experience partnering across Product, Engineering, Information Security, Risk, Legal, Compliance, and Privacy to deliver enterprise technology solutions.
Proven ability to define strategy, influence executive stakeholders, and drive alignment across highly matrixed organizations.
Experience establishing governance frameworks, operational processes, or platform standards that enable secure, compliant, and scalable technology adoption.
Exceptional communication and leadership skills with the ability to translate complex technical, regulatory, and business requirements into actionable platform strategy.
Preferred Qualifications
Experience leading a Responsible AI, AI Platform, AI Governance, Machine Learning Platform, or AI Infrastructure organization.
Experience building platform capabilities for AI governance, including model evaluation, AI observability, policy enforcement, model inventories, prompt management, or lifecycle management.
Familiarity with industry AI governance frameworks and standards (e.g., NIST AI RMF, ISO/IEC 42001, EU AI Act).
Experience in financial services or another highly regulated industry.
Experience influencing enterprise AI adoption through developer platforms, reusable services, and automation.
Advanced degree in Computer Science, Engineering, Data Science, Public Policy, or a related field.
Employment eligibility to work with American Express in the U.S is required as the company will not pursue visa sponsorship for these positions
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American Express is a global payments and financial services company.
American Express issues consumer and commercial cards, operates a payment network, and provides merchant services, travel, rewards, lending, and expense-management products.
197K – 267K
Our estimate — this employer did not publish a salaryOur estimate, not the employer’s. Worked out from the middle half of 28 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.
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