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dLocal is hiring a senior AI/ML-focused architect to design and oversee the implementation of scalable AI-powered payment solutions. You will work with data scientists, software engineers, and product managers to evaluate new AI tech, deploy robust AI systems, and ensure maintainability across the stack.
Excellent English and cloud expertise are required, with a focus on speed, reliability, and innovation. You will define best practices, drive adoption across teams, and continuously enhance the
dLocal enables the biggest companies in the world to collect payments in 40 countries in emerging markets. Global brands rely on us to increase conversion rates and simplify payment expansion effortlessly. As both a payments processor and a merchant of record where we operate, we make it possible for our merchants to make inroads into the world’s fastest-growing, emerging markets.
By joining us you will be a part of an amazing global team that makes it all happen. Being a part of dLocal means working with 1000+ teammates from 30+ different nationalities and developing an international career that impacts millions of people’s daily lives. We are builders, we never run from a challenge, we are customer‑centric, and if this sounds like you, we know you will thrive in our team.
Join a cutting-edge team at the forefront of revolutionizing payment systems using advanced AI technology for automation and augmentation. This role offers a unique opportunity to architect, design, and oversee the implementation of AI-powered solutions within the payment industry.
As a key member of the team, you will have a direct and impactful role, potentially shaping the trajectory of the company. You'll be able to experience firsthand the substantial influence your contributions will have on our company's growth and success. This dynamic environment encourages innovation and creativity, empowering you to shape the future of payment technology.
Collaborate closely with cross-functional teams including data scientists, software engineers, and product managers to architect and design scalable AI systems.
Research, evaluate, and integrate new AI technologies, frameworks, and tools to ensure we are utilizing the most innovative and recent technologies in the market.
Oversee the deployment and maintenance of AI solutions using a stack that features Python, LLM libraries, AI third‑party services, and AWS services.
Define and implement best practices for AI system architecture, ensuring robustness, scalability, and maintainability.
Adapt quickly and efficiently to the rapidly evolving technological landscape, ensuring our AI solutions remain cutting‑edge.
Develop a holistic vision for the application of AI, fostering and enhancing its use across the entire IT team.
Create and promote best practices, training programs, and frameworks to facilitate rapid adoption of AI technologies by all teams.
A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
+ 7 years of experience with Python programming language, LLM frameworks (Langchain, LlamaIndex), and interactive data apps (Streamlit, Gradio).
Extensive experience with Docker and container orchestration.
Proven expertise in applying scalability patterns (caching, parallelism, routing, asynchrony, decoupling, etc).
Deep familiarity with Architecture for LLM Applications and Prompt Engineering techniques/patterns.
Experience with DevOps best practices, including version control (Git), infrastructure as code (IaC), and continuous integration/continuous deployment (CI/CD).
Extensive experience with Cloud infrastructure (AWS, Azure, or GCP).
Excellent problem‑solving skills, critical thinking, and the ability to communicate complex technical concepts effectively.
Desirable experience with evaluation and observability of generative AI applications.
Fluent English proficiency is a mandatory requirement for this position.
Flexibility in how you work: We focus on impact and productivity over fixed hours. This means our teams have flexible schedules and, depending on your role and location, you will combine self‑managed focus time with moments of in‑person connection in our collaboration hubs.
What happens after you apply?
Our Talent Acquisition team is invested in creating the best candidate experience possible, so don’t worry, you will definitely hear from us. We will review your CV and keep you posted by email at every step of the process!
Also, you can check out our webpage, Linkedin and Youtube for more about dLocal!
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.