Solutions Architect

An established technology startup that develops an AI-driven financial intelligence and big data analytics platform designed to map complex digital financial networks.

By analyzing cross-border transactions and tracing pseudo-anonymous entities across public ledger networks and crypto assets, the company delivers actionable identity resolution to global law enforcement agencies.

Operating post-Series B funding backed by premier venture capital firms, the company scales its global operations with a core R&D center in Israel.

The company is located in Tel Aviv (train-accessible) and operates on a hybrid model of one day office-based.

Key Responsibilities-

• Leading technical client engagements, gathering complex operational requirements from regulatory, financial, and law enforcement stakeholders.
• Designing and implementing scalable data engineering and AI-agent pipelines capable of parsing and modeling structured and unstructured data.
• Engineering production-ready generative AI configurations, automated prompting layers, and cognitive orchestration structures.
• Deploying, optimizing, and maintaining analytical microservices inside cloud infrastructure tailored for high-scale graph or transactional analysis.
• Maintaining full technical ownership of product extensions, building rapid proof-of-concepts, and validating model outputs against actual compliance metrics.

Requirements-

• 5 years of professional experience operating in a Solutions Engineering, Technical Product Management, or equivalent technical client-facing role (Mandatory).
• Proven hands-on execution experience building systems with Generative AI, LLMs, autonomous agents, and prompting frameworks (Mandatory).
• Strong technical background, having progressed from a Software Engineering position or holding a relevant academic degree in Computer Science or Engineering (Mandatory).
• Direct experience presenting technical architectures, scoping data integrations, and leading delivery cycles directly facing external clients (Mandatory).
• Hands-on engineering exposure deploying and optimizing cloud architectures within public cloud platforms like AWS or GCP (Mandatory).
• Prior professional experience working within Fintech, fraud detection, anti-money laundering (AML), crypto analytics, open-source intelligence (OSINT), or tax enforcement domains is a highly significant professional advantage.