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): Designing and demonstrating AI-driven decisioning solutions for enterprise financial institutions with an accent on Generative AI, machine learning, and production-grade integrations. Focus on leading proof-of-value projects, building technical prototypes, and translating complex credit, risk, and fraud challenges into strategic solutions for senior stakeholders.
Location: Hybrid, London office at least three days per week
Company
provides an Agentic Decision Platform that helps financial institutions automate and optimize credit, risk, fraud, claims, and financing decisions with AI agents, rules, context, and human oversight.
What you will do
- Translate customer priorities and problem statements into high-impact Agentic AI use cases during enterprise sales cycles.
- Design and lead proof-of-value projects combining customer data, ML/AI models, and the platform.
- Build technical prototypes, demos, integrations, and production-grade workflows on the Agentic Decisioning Platform.
- Partner with Sales, customers, and technology partners to secure technical wins and communicate implementation roadmaps to senior and C-level stakeholders.
- Share prospect insights and competitive intelligence with Product Management to shape the AI product roadmap.
- Create reusable collateral, tools, and best practices for the Solutions Engineering function.
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 scopes for proofs of concept and evaluations across multiple high-stakes prospects.
- Experience supporting high-contract-value enterprise deals through discovery, strategic positioning, and technical objection handling.
- Willingness to work in a hybrid model from the London office at least three days per week.
- Strong customer focus, collaboration skills, and a growth mindset.
Nice to have
- 3–5 years of experience in enterprise Solutions or Sales Engineering in 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 with AI use cases in financial services, 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 the founding team.
- Opportunities to shape the company and learn from experienced mentors, 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.
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