Solutions Engineer

• Lead technical pre-sales and customer engagement for complex digital transformation programs within the FinTech and financial services sector.
• Run structured discovery sessions to translate client pain points into viable, scalable, and highly secure financial technology architectures.
• Technically lead high-value bids and partner closely with sales and engineering squads.
• Bridge the gap between commercial strategy and technical execution, ensuring a seamless transition from solution design to successful delivery in highly regulated environments.

Pre-Sales Solutions Architect – FinTech, Digital Banking

• Architect production GenAI systems across multiple domains, including conversational agents, automated order and dispute workflows, personalized discovery and recommendations, content generation, search relevance, and emerging use cases.
• Own features end-to-end, from problem framing and model selection through backend services (FastAPI, Python), frontend integration (React, TypeScript), evaluation, deployment, and monitoring.
• Design agentic workflows with tool calling, multi-step reasoning, retrieval augmented generation, and integrations with internal APIs, third-party SaaS, and event-driven systems.
• Build the retrieval and embeddings stack, including chunking strategies, embedding model selection, vector indexes, hybrid search, reranking, and retrieval evaluation pipelines.
• Make it reliable and cost-efficient through streaming, prompt caching, latency budgets, token cost optimization, observability for LLM calls, and graceful fallback when models or upstreams misbehave.
• Establish evaluation rigor with offline and online evals covering response quality, tool call correctness, hallucination rate, retrieval precision, and business KPIs.
• Drive experimentation and research by evaluating new models, frameworks, and agent patterns, running focused experiments, and bringing what works into production.
• Mentor and raise the bar for engineers across the team on AI and ML best practices, prompt engineering, and production readiness.
• Partner cross-functionally with Product, Engineering, Data, Ops, and CX to identify high-leverage AI opportunities and ship them.

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Pre-Sales Solutions Architect – FinTech, Digital Banking

AI / GenAI Solutions Engineer