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Senior Solutions Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Brazil
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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TL;DR
Senior Solutions Engineer (AI): Architecting AI-driven solutions and proof-of-value projects for enterprise financial institutions using Taktile’s Agentic Decisioning Platform, with an accent on Generative AI, machine learning, and production-grade integrations. Focus on translating strategic credit, risk, and fraud challenges into high-value use cases, building technical prototypes, and communicating ROI and implementation roadmaps to senior stakeholders.

Location: São Paulo, Brazil; hybrid

Company

hirify.global provides an Agentic Decision Platform that enables financial institutions to automate and optimize decisions using AI agents, rules, contextual data, and human oversight.

What you will do

  • Translate customer priorities and business problems into high-impact Agentic AI use cases for enterprise sales cycles.
  • Design and execute proof-of-value projects combining customer data, AI or ML models, and the hirify.global platform.
  • Build technical prototypes, demonstrations, and production-grade integration workflows using Python, APIs, and modern AI models.
  • Collaborate with customers, partners, Sales, Product, Engineering, Marketing, and Customer Success teams to design solutions.
  • Present strategic value, implementation roadmaps, and technical recommendations to senior stakeholders, including C-level executives.
  • Share customer insights and competitive intelligence with Product while creating reusable tools, collateral, and best practices for Solution Engineering.

Requirements

  • 3+ years of hands-on experience writing production Python code.
  • Experience navigating complex enterprise organizations and working with both technical and business stakeholders.
  • Ability to plan and manage technical evaluations and proof-of-concept or proof-of-value projects across multiple high-stakes prospects.
  • Experience supporting high-contract-value enterprise deals through discovery, strategic positioning, and resolution of technical objections.
  • Customer-centric, collaborative approach with the ability to work across Sales, Product, Engineering, Marketing, and Customer Success.

Nice to have

  • 3–10 years of experience in enterprise Solutions Engineering, Sales Engineering, B2B SaaS, or senior technical consulting.
  • Understanding of REST API design, integration, and authentication.
  • Experience building, tuning, or deploying production ML models with scikit-learn, XGBoost, PyTorch, or TensorFlow.
  • Experience applying AI to financial services use cases such as fraud detection, credit scoring, or underwriting.
  • Financial services domain expertise across banking, insurance, capital markets, or payments.

Culture & Benefits

  • Early-stage environment with a flat hierarchy and direct communication with founding team members.
  • Mentorship and opportunities for personal and professional development.
  • Top-of-market equity and cash compensation package.
  • Self-development budget for conferences, books, and classes.
  • Choice of equipment, including meaningful home-office setup.
  • Inclusive workplace committed to recognizing and combating discrimination and supporting diverse identities.

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