обновлено 5 дней назад
Senior Solutions Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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 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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