обновлено 5 дней назад
Lead Solutions Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Solutions Engineer (AI): Architecting AI-driven decisioning solutions and production-grade proof-of-value projects for enterprise financial institutions with an accent on Generative AI, machine learning, customer data, and Taktile's Agentic Decisioning Platform. Focus on translating strategic business challenges into high-value use cases, designing complex integrations, and communicating technical ROI to senior and C-level stakeholders.
Location: Berlin, Germany; hybrid work with at least three days per week in the Berlin office
Company
provides an Agentic Decision Platform that enables financial institutions to automate and optimize credit, risk, fraud, claims, and financing decisions using AI agents, rules, relevant context, and human oversight.
What you will do
- Partner with Sales to architect AI-driven solutions for enterprise banks, insurers, and other financial institutions.
- Translate customer priorities and problem statements into high-value Agentic AI use cases throughout the enterprise sales cycle.
- Lead proof-of-value projects combining customer data, ML/AI models, and the platform to demonstrate strategic ROI.
- Build technical prototypes, demos, production-grade integration simulations, and workflows on the Agentic Decisioning Platform.
- Create reusable solution patterns and collateral, mentor colleagues, and lead technical strategy for customer engagement.
- Share prospect insights and competitive intelligence with Product, Engineering, Marketing, Sales, and Customer Success teams.
Requirements
- At least three 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 scopes for proofs of concept and evaluations while supporting high-value enterprise deals.
- Strong understanding of enterprise infrastructure, architecture, and APIs.
- Ability to explain AI and machine-learning models to technical leaders and financial-services domain experts.
- Availability to work from the Berlin office at least three days per week.
Nice to have
- Five to seven years of experience in enterprise solutions or sales engineering for B2B SaaS, or senior technical consulting.
- Experience building, tuning, or deploying production ML models with scikit-learn, XGBoost, PyTorch, or TensorFlow.
- Experience with AI use cases in fraud detection, credit scoring, underwriting, or other financial-services domains.
- Technical leadership experience through strategic account ownership, mentoring, or solution strategy.
- Domain expertise in banking, insurance, capital markets, or payments.
Culture & Benefits
- Flat hierarchy with direct communication with founding team members.
- Mentorship, professional development, and access to a network of technology investors and advisors.
- Top-of-market equity and cash compensation package.
- Self-development budget for conferences, books, and classes.
- Choice of equipment, including a meaningful home-office setup.
- Inclusive workplace committed to recognizing and combating discrimination and supporting diverse identities.
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