Schonfeld
Forward Deployed Engineer
$200K–$250K
New York, New York, United States · Full-time · Posted Sep 16, 2026
- Experience
- 5+ years; finance experience working with investment professionals is required for investment-facing roles and valued but not essential for others.
About the job
Build and deploy AI-powered workflows and agents with business teams to automate processes and support investment and corporate functions.
What you'll do
- Shape requirements and build AI solutions with business stakeholders, then own delivery through production and post-launch iteration.
- Design agentic workflows that analyze market news, security data, filings, emails, and other sources to surface relevant information.
- Develop agents, prompts, skills, and workflow templates; share proven patterns with the AI Platforms team as reusable assets.
What they ask for
- 5+ years of professional software engineering Python experience in finance, working with investment professionals.
- Experience with AWS cloud services, Kubernetes-driven deployments, Github Actions, and modern CI/CD pipelines.
- Experience building and shipping software directly with non-engineering users, gathering requirements and iterating on feedback.
- Comfort working with messy real-world data, plus product sense and strong problem-solving and communication skills.
Nice to have
- Experience developing agentic AI applications, harnesses, MCP servers, or workflows; familiarity with AI agents, RAG pipelines, or agentic tools.
- Hands-on use of agentic coding tools such as Claude Code; product management experience or similar responsibilities.
Pay
$200,000 and $250,000 (base pay)
Tools
Python, AWS, S3, OpenSearch, DynamoDB, Kubernetes, Github Actions, Claude Code
AI focus
Develop and deploy agentic AI workflows and applications to automate manual work, analyze business and market data, and support investment decisions.
Model-written summary · the original posting is authoritative