Lead Forward Deployed Engineer

Job Description

A global financial services organization is seeking a senior, hands-on Lead Forward Deployed Engineer to develop AI-enabled applications supporting brokerage, trading, and investment workflows.

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The position combines Python software engineering, agentic AI development, and direct product and business collaboration. This individual will work closely with financial-market stakeholders to identify opportunities, quickly develop working prototypes, and deliver secure, scalable AI applications.

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The successful candidate will bring strong engineering fundamentals, hands-on LLM development, and an understanding of financial markets.

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Responsibilities

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• Design and implement LLM-enabled applications and intelligent agents.
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• Develop production-quality Python applications, integrations, and APIs.
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• Partner directly with trading, investment, and product stakeholders to identify valuable AI use cases.
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• Rapidly prototype solutions, gather feedback, and improve application functionality.
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• Build agentic workflows that support business activities and appropriate approval processes.
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• Collaborate with infrastructure and engineering teams to deploy reliable production applications.
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• Incorporate security, compliance, governance, and auditability into AI solutions.
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• Contribute to technical decisions and ongoing adoption of AI capabilities.
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Role Requirements

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• 10+ years of combined relevant investment, quantitative, software, or AI engineering experience.
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• Strong hands-on Python engineering.
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• Experience delivering LLM-enabled applications and AI agents.
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• RAG, embeddings, agentic workflows, prompt engineering, and API integration.
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• Direct experience working with trading desks, portfolio managers, or investment researchers.
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• Knowledge of brokerage, trading, or investment workflows.
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• Fluency in at least one financial asset class.
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• Cloud infrastructure and modern engineering practices.
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• Experience delivering secure technology within regulated environments.
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• Excellent stakeholder communication and ability to translate business needs into software.
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Nice to Have

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• Claude / Anthropic and GCP experience.
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• LangChain, LangGraph, LlamaIndex, MCP, and vector databases.
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• Desk strategy or quantitative technology background.
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• Experience with internal AI assistants or document intelligence.
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• CFA, FRM, or comparable financial-market credentials.
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