
Stripe · US-San Francisco
WHO WE ARE ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the mos...
Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the
most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our
mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an
unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
The AI Solutions Architecture team is a group of specialists with a deep understanding of Stripe's products that partners with AI
users to realize their full potential through the adoption of prescriptive solutions that drive their growth and success. SAs on
this team leverage their expertise in the broader subscription, billing, and payments industry to influence revenue growth across
Stripe’s product portfolio, and collaborate with sales, support, product management, and Stripe’s executive team to provide the
best experience to our most valued customers.
As an AI Solutions Architect, you'll be a key technical advisor driving the adoption of Stripe's product solutions among top AI
companies. You'll collaborate with cross-functional teams to ensure successful implementations and shape our product roadmap to
meet the unique needs of AI businesses. Your role will involve developing innovative billing strategies, engaging with AI founders
and technical stakeholders, and positioning Stripe as the go-to monetization partner in the AI ecosystem. You'll have the
opportunity to influence the future of AI commerce, tackling complex challenges at a global scale in a dynamic, collaborative
environment. Your work will be instrumental in establishing Stripe as the leader in AI monetization infrastructure, driving
innovation in the rapidly evolving AI industry.
real-time metering for APIs, agents, and workflows.
experimental and evolving pricing models.
based on AI company needs.
a strategic partner in their monetization journey.
demonstrations, hackathons, and meetups.
implementation and activation of core payments, Stripe Billing and usage-based billing for AI clients.
offerings effectively.
AI-specific billing strategies and customer needs.
We're seeking a passionate, adaptable professional who thrives on innovation and isn't afraid to challenge the status quo. The
ideal candidate combines deep technical expertise in billing systems with a strong understanding of AI business models and
monetization strategies. You should be comfortable engaging with technical founders, articulating complex concepts to diverse
audiences, and staying at the forefront of AI industry trends. You're a quick learner who thrives in rapidly changing environments
and can adapt strategies as the AI landscape evolves. If you're excited about shaping the future of AI monetization and have a
track record of success in technical sales or pre-sales roles, we encourage you to apply, even if your experience doesn't exactly
match our requirements.
credibility at all levels.
This role offers a unique opportunity to shape the future of AI monetization at one of the world's leading fintech companies. Join
us in defining how the next generation of AI businesses will scale and succeed.
At Toyota Material Handling Europe, we create technology that keeps the world moving. Diverse businesses across Europe depend on our logistics and material handling solutions. By pioneering technology like automation, connectivity and productivity solutions, we enable our customers' logistics operations to be as efficient as possible. We firmly believe in setting ideas in motion. At Toyota Material Handling Europe, we are over 13,500 colleagues passionate about supporting companies of all sizes with todays and tomorrow's material handling challenges. Because we know that our business and our industry are essential and sometimes even critical for them, for daily life and society at large. In our respective headquarters in Mjölby, Sweden, Willebroek, Belgium, in our Sales companies across Europe, or in our factories in France, Italy and Sweden, you can be part of an extraordinary journey. And together, we will Move the world towards easy and sustainable. The Position We are strengthening our Enterprise Architecture (EA) team with a strategic architect who will play a key role in shaping the AI and Data landscape across Toyota Material Handling Europe (TMHE). You will contribute to the full Enterprise Architecture model while focusing on direction, principles and guardrails that support scalable, harmonised and business-aligned development. This is a strategic EA role. You will not implement data pipelines or AI models, instead, you will drive alignment, support architectural and investment decisions, and guide the AI program, the Data team, Solution Architecture and business stakeholders by providing structure, direction and decision support. You will work in close collaboration with established AI, Data and Security capabilities, meaning you will not be expected to be the deepest expert in every area, but rather someone who can connect perspectives and shape a coherent architecture. In this role, you report to the Head of Enterprise Architecture. Your Responsibilities Contribute to and shape enterprise-level AI and Data architecture principles, target states and reference patterns. Drive direction for Information and Data architecture, including data domains, information structure, interoperability and ownership models. Ensure alignment between business needs, AI initiatives, data platforms and the EA model. Translate business and transformation into architectural guidance and support decision-making in relevant governance and investment forums. Collaborate with the AI program, Data team, Solution Architects, CISO and Legal to support scalable, secure and compliant solutions. Contribute to architecture governance and reviews from an AI and data perspective. Support business areas in exploring and scaling data-driven and AI-enabled capabilities. Help strengthen architectural understanding and ways of working across TMHE. Your Profile We believe mindset and attitude make all the difference. If you are structured, communicative and proactive, you will thrive here. The following qualities would make you a strong fit: Broad experience in Enterprise Architecture or related strategic architecture roles. Good understanding of data-driven architecture and an interest in AI and emerging capabilities. Ability to see the holistic picture and understand how processes, data, applications and platforms interact to create business value. Experience engaging with business stakeholders, facilitating structured dialogue and translating needs into architectural guidance. Comfortable working in a data-driven environment where new capabilities - such as AI - increasingly influence business processes and architectural direction. Good communication skills, with the ability to explain complex topics in a clear and pragmatic way. Curious, collaborative and confident taking the lead when needed. Interest and ability to teach, guide and build architectural maturity in the organisation. Enjoy working in a team and being part of our journey towards a modern and sustainable IT landscape. Fluent in spoken and written English. Relevant education. Our Offer At Toyota Material Handling Europe, we don't just offer jobs-we offer careers with purpose. In our dynamic, diverse, and international environment, we offer a workplace where you can truly thrive and bring your ideas to life. You will have the opportunity to work with AI and data at a strategic level in a European organisation. We're committed to supporting you with an attractive benefits package, including a yearly bonus and flexible work arrangements that allow you to balance your personal and professional life. With clear goals and direction from senior leadership, you'll also find abundant opportunities for career growth and development within the company. Our organisational support ensures that you can maintain a healthy work-life balance while pursuing meaningful work that shapes the future of our industry. We believe learning never stops. Whether you're developing new skills or leading ground-breaking projects, this is a place where continuous growth is celebrated. Collaboration is at the heart of everything we do, and we take pride in fostering a supportive, open environment where every voice is heard. Send your application, CV, and Cover letter in English, no later than 17th of August 2026. For more information regarding the recruitment process, please contact: Patrik Schultzén, Talent Acquisition Specialist, Patrik.schultzen@toyota-industries.eu Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.
We're building AI-native systems – and helping shape how AI transforms engineering, products and organisations. At Knowit Connectivity, AI is becoming a fundamental part of how modern systems are designed, developed and operated. We're looking for experienced engineers and architects who want to help clients move beyond experimentation and build production-grade AI solutions that create real business value. As we continue to invest in AI as a company, we're looking for people who want to combine deep technical expertise with a passion for shaping the future of AI-enabled engineering. About the role As a senior consultant, you'll work across the full lifecycle of applied AI – from strategy and architecture to implementation, deployment and continuous improvement. You will help clients understand how AI changes products, workflows and technical systems while taking a leading role in designing solutions that are scalable, observable and trustworthy. In addition to client engagements, you will be part of Knowit Connectivity's AI Advisory Team. The team plays a central role in shaping our AI strategy, developing internal capabilities, evaluating emerging technologies and helping drive our AI initiatives forward. This means your role is divided between delivering value in client assignments and helping strengthen Knowit's AI capabilities internally. You'll collaborate with other senior AI specialists, architects and business leaders to identify opportunities, establish best practices and continuously evolve how we apply AI across the organisation. Typical work includes: Designing AI-native architectures and intelligent systems Building and deploying LLM-based applications in production Implementing RAG solutions across large and complex information landscapes Designing agent-based workflows and autonomous system behaviours Defining governance, observability and evaluation strategies for AI systems Integrating AI capabilities into existing products, platforms and business processes Evaluating trade-offs around performance, reliability, cost and control Supporting clients in their AI transformation journey Contributing to the development of Knowit's AI strategy and AI offerings What we're looking for We're primarily looking for senior profiles with hands-on experience in applied AI. You likely have experience with several of the following: Building applications using LLMs Retrieval-Augmented Generation (RAG) and vector databases Agent frameworks and orchestration platforms System architecture and distributed systems Python or similar programming languages Cloud platforms such as Azure, AWS or GCP Evaluation, monitoring and optimisation of AI systems Data engineering and integration of complex information sources Experience with enterprise architecture, platform engineering or large-scale software development is highly valuable. Who you are You understand that AI is changing software engineering and system design fundamentally. You enjoy working across strategy, architecture and implementation, and you're comfortable helping clients navigate both technical and organisational challenges related to AI adoption. You are curious, pragmatic and continuously learning as the AI landscape evolves. You don't need to fit a perfect profile – we value different strengths, whether you lean more towards architecture, platform engineering or implementation. Why join us At Knowit, you'll be part of a team that helps organisations move forward in their AI journey – from early exploration to real, implemented solutions. We work closely with our clients to understand their needs, identify opportunities and turn ideas into practical applications. Whether it's defining strategy, designing architectures or building production-ready systems, you'll play a key role in helping others succeed with AI. What you can expect: Working hands-on with clients to solve real business problems using AI Supporting organisations at different stages of their AI maturity Collaborating in a strong engineering culture where knowledge sharing is part of everyday work Opportunities to influence both client solutions and how we grow our AI capabilities internally A variety of projects and industries, giving you both breadth and depth over time A formal development roadmap where continuous AI learning and capability building are integrated parts of your professional growth We're building our AI capabilities together with our clients, which means your work will have a direct impact – not only on what we do, but on how others succeed in applying AI. Interested? If you've already built something real with LLMs and want to help shape how AI transforms engineering, products and organisations, we'd like to hear from you.
Do you want to work with AI in real projects – from idea to implementation? At Knowit Connectivity, we’re growing within AI and are looking for more people to join us. We know that people come with different strengths, so instead of looking for one perfect profile, we’re open to different backgrounds. You might be more focused on architecture and design, or you might prefer working closer to implementation. Either way, if you’re interested in working with AI in practice, we’d like to hear from you. About the role As a consultant with us, you’ll work with developing AI solutions together with our clients and internally. The work can vary from early ideas and design to building and integrating solutions. Depending on your experience, you could be working with: Designing AI solutions and system architecture Working with LLM-based applications Building solutions using RAG or similar approaches Developing agent-based workflows Integrating AI into existing systems We think you might have experience in: Hands-on experience working with LLMs in applications RAG (Retrieval-Augmented Generation) Agent-based solutions Python or similar APIs and system integration You don’t need to have experience in all of the above as we will offer opportunities to learn and grow within Knowit. Who you are You’re interested in how AI can be used in real applications and enjoy working hands-on, turning ideas into something that actually works. You might like working with the bigger picture, or prefer being closer to implementation. You’ll be working closely with a team that has a strong focus on learning and developing within this area, where sharing knowledge is a natural part of everyday work. You’ll also work closely with our customers and support them in moving forward on their journey. We believe you’re someone who wants to keep developing over time. This isn’t a role with a fixed end point – it’s more of an ongoing learning journey where you grow together with the team. Why join us At Knowit, you’ll be part of a team where people support each other and share knowledge openly. We believe that development happens over time – not just through courses, but by working together, trying new things, and learning along the way. You’ll have the opportunity to work with different types of projects and customers, which gives you both variety and the chance to grow in different directions. If you want to deepen your current skills or explore new areas, we encourage that. Right now, we’re also building up our capabilities within AI, which means you’ll be part of a team that is shaping how we work with these technologies going forward. At the same time, we value a healthy balance between work and life, and a culture where you can be yourself and feel part of a community.