Forward Deployed Engineer
madisondavisNew York (NY)
About the role
A global investment organization is expanding its AI Solutions function and hiring Forward Deployed Engineers to build AI-powered applications directly with investment and enterprise users. Rather than focusing exclusively on centralized AI infrastructure, this team embeds engineers directly with portfolio managers, researchers, technical teams, and corporate functions. Engineers identify high-value workflows, translate business problems into technical solutions, and take those solutions from initial concept through production use. This is a hands-on software engineering role for someone who enjoys combining Python development, AI, product thinking, and direct stakeholder interaction.
Responsibilities:
Partner directly with investment professionals, researchers, and business users to identify high-value AI and workflow-automation opportunities. Translate ambiguous business problems into technical requirements and working products. Design and build production-grade AI applications and agentic workflows. Create systems that analyze documents, filings, emails, market information, reference data, and other real-world datasets. Develop AI agents, prompts, reusable skills, RAG workflows, and business-specific automations. Own projects from requirements and architecture through deployment, UAT, production adoption, and iteration. Partner with centralized AI platform teams and convert successful solutions into reusable patterns. Maintain strong engineering standards across testing, deployment, code quality, and production support.
Role Requirements:
5+ years of professional software-engineering experience. Strong hands-on Python development experience. Financial-services experience. Experience building software directly with business or non-engineering users. Ability to gather requirements and iterate based on real user feedback. AWS experience, including exposure to services such as S3, Open Search, or DynamoDB.Kubernetes and modern CI/CD experience. Experience working with unstructured or semi-structured data. Strong product instincts and ability to prioritize high-value features. Excellent communication and problem-solving skills.
Nice to Have:
Experience working directly with portfolio managers or investment-research teams. Discretionary macro, fixed-income, or fundamental-equity experience. Agentic AI application development. Retrieval-Augmented Generation. MCP servers or agent orchestration. Claude Code or similar AI-assisted development tools. Product-management or roadmap-ownership experience.
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