Senior Forward Deployed Engineer (AI Fintech)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
TL;DR
Senior Forward Deployed Engineer (AI Fintech): Leading complex AI-driven deployments for financial institutions from onboarding to production-grade Generative AI agents with an accent on solution architecture, decision logic, and customer collaboration. Focus on scoping high-impact use cases, optimizing delivery timelines, and influencing product roadmap through customer insights.
Location: Hybrid in SΓ£o Paulo, Brazil - must be based in or near SΓ£o Paulo with regular in-person collaboration
Company
builds AI platform for automated decision-making in financial services, backed by top investors like Y Combinator and Index Ventures.
What you will do
- Lead end-to-end technical delivery of AI deployments, from scoping Agentic AI use cases to production stability.
- Design solution architectures, develop decision logic, deploy Generative AI agents, and align with customer stakeholders.
- Scope work, sequence delivery, remove blockers, and balance scope, speed, and quality for timely projects.
- Partner with product team to translate customer needs into roadmap insights.
- Build reusable tools, best practices, and resources to scale the forward deployed engineering function.
Requirements
- 4-6 years of engineering or technical deployment experience with customer-facing work
- Fluent in English and Portuguese; exceptional English for global customer conversations
- Strong technical background (Computer Science, Mathematics, Software Engineering, Physics, Data Science preferred)
- Production-grade Python, SQL, REST API design and integrations
- Excel at problem-solving under pressure, stakeholder relationships, and customer-centric decisions
- Based in SΓ£o Paulo area, comfortable with travel for in-person meetings
Nice to have
- 4-6 years as Forward Deployed Engineer, Solution Engineer, or Implementation Specialist in B2B SaaS
- Experience building AI applications in financial services
- Applying statistical/ML models to business problems
- Experience with AWS, Azure, or GCP
Culture & Benefits
- Collaborative environment with flat hierarchy and direct access to founding team
- Top-of-market equity and cash compensation
- Self-development budget for conferences, books, classes
- Equipment of your choice and home office setup
- Work with high-caliber team from Google, Amazon, Meta backgrounds
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β