Job Description
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.
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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.
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This is a hands-on software engineering role for someone who enjoys combining Python development, AI, product thinking, and direct stakeholder interaction.
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Responsibilities
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- 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.
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Role Requirements
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- 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, OpenSearch, 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.
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Nice to Have
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- 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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