Forward Deployed Engineer
Forward Deployed Engineer at Avra embeds with enterprise clients in São Paulo to map their decision workflows and build/deploy AI-powered solutions for credit and risk, customer acquisition, and fraud. A hands-on data science role requiring Python, SQL, and experimentation skills; hybrid with in-person time at customer sites.
- Compensation
- Not disclosed
- Location
- São Paulo
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Solutions engineering
- Posted
Skills
Must have
- Background in statistics, econometrics, or data science (degree or equivalent practical experience)
- 2+ years hands-on experience solving real business problems with data in credit, risk, fraud, growth/acquisition, or an adjacent decision-heavy domain
- Proficiency in Python and SQL
- Comfort working with APIs and basic software engineering concepts (version control, deployment, testing)
- Familiarity with real-world data structures and the messiness of production data
- Experience with experimentation and causal inference: A/B tests, incrementality, quasi-experimental methods
- Strong communication skills — able to present a model's business impact to C-level stakeholders
- Based in São Paulo (hybrid), with in-person time at customer sites
Nice to have
- Previous experience at a fintech or high-growth technology company
Full description
About Avra
Avra is a frontier AI lab building relational foundation models from the ground up (no third-party wrappers).
We model how businesses and individuals are connected and interact over time. Put simply: we bring connections into the math.
Leading enterprises in LatAm use Avra's models to power key decisions in credit, growth, and fraud. Our customers include the largest banks and marketplaces in Latin America, such as Mercado Libre, Telefonica, Banco Inter and Getnet.
Avra was founded in 2024 by Viviane Meister and Bruno Alano (ex-OpenAI). Our investors include NXTP, Clocktower Ventures, as well as the Sequoia and a16z scouts. We are accelerated by NVIDIA, AWS, and Google.
We are a team of builders. Join us.
About the role
We're looking for a Forward Deployed Engineer with a data science background and experience in real-world enterprise decision-making. You'll work directly with clients to deploy AI solutions that transform how they make high-stakes decisions: who to lend to, who to acquire, who to trust. This is a role for someone who understands a customer's business problem as well as they understand APIs, and who can translate an operator's pain into a working prototype.
What you'll do
- Work embedded with clients to deeply understand their decision workflows, data infrastructure, and operations — identify the real pain points and shape them into actionable use cases for Avra's platform.
- Build and deploy AI-powered solutions across Avra's core applications: credit and risk, customer acquisition, and fraud.
- Assess the quality and accuracy of customer data alongside them, ensuring Avra's Data Platform team is set up to consume the right data in the right way.
- Work hand-in-hand with a Deployment Strategist who turns your technical insight into the business solution the customer needs, at speed. You're one half of a double act.
- Translate business requirements into technical specs, and technical outputs into business narratives that clients actually understand.
- Be part of Avra's FDE cohort — benchmark across use cases, share learnings, and sharpen each other's work. You are a domain specialist, but you'll have a Data Science pair, a cohort of FDEs around you, and a direct line into how Product builds.
- Bring insight from the field back to Avra's product and engineering teams. Drive quick iteration based on real-world usage and feedback, improving our existing solutions and shaping future product offerings.
- Bridge the gap between experts and executives — communicate effectively with data specialists and operational teams as well as C-level stakeholders. Translate detail into business impact, and vice versa.