Forward Deployed Engineer, Gen AI

Forward Deployed Engineer, Generative AI

Full-time Financial Services New York, NY

About The Role Bounteous is seeking a Forward Deployed Engineer, Generative AI to support a

strategic engagement with the Fixed Income business (investment bank) in New

York.

This is a highly embedded, client-facing engineering role. The FDE will work directly

with Fixed Income business users, technology teams, quants, operations, and control

functions to identify high-value AI use cases, translate business workflows into

technical designs, and build production-grade AI solutions.

This role is not purely advisory. The successful candidate will be expected to sit close

to the business, understand front-office and operational workflows, write code, test

solutions, debug issues, and help move AI use cases from concept to controlled

production adoption.

The ideal candidate combines strong software engineering skills, practical generative

AI experience, and a consultative approach to working with senior business

stakeholders in a regulated financial-services environment.

What You Will Do

• Embed with banks Fixed Income teams in New York to understand business

workflows, pain points, data availability, and AI opportunities.

• Partner with traders, sales, research, operations, risk, compliance, and

technology stakeholders to translate business requirements into AI-enabled

solutions.

• Design, prototype, and build generative AI applications using Python, OpenAI or

Claude Agent SDK and other agentic frameworks (comparable LLM APIs),

prompt engineering, MCP integrations, orchestration, retrieval-augmented

generation, and agentic workflows.

• Develop AI solutions that support Fixed Income use cases such as knowledge

retrieval, workflow automation, document analysis, trade support, client

intelligence, operational exception handling, and management reporting.

• Build retrieval pipelines across structured and unstructured data, including

research, policies, procedures, trade-related data, market commentary, client

documents, and internal knowledge repositories.

• Apply prompt engineering techniques to improve model accuracy, consistency,

explainability, and user trust.

• Design evaluation frameworks to test AI outputs for accuracy, completeness,

hallucination risk, relevance, and compliance alignment.

• Work with technology and control teams to ensure solutions meet enterprise

standards for security, data privacy, auditability, access control, and model

governance.

• Communicate technical trade-offs clearly to both engineering teams and

business stakeholders.

• Support user adoption by gathering feedback, refining workflows, and ensuring

AI tools solve real business problems rather than becoming standalone

experiments.

• Identify reusable patterns, accelerators, and components that can be scaled

across other financial-services use cases.

Required Qualifications What we are looking for

• Bachelor’s degree in computer science, Engineering, Mathematics, Finance, or a

related field, or equivalent practical experience.

• Strong hands-on experience with Python and modern software engineering

practices.

• Practical experience building applications using Python, OpenAI or Claude

Agent SDK and other agentic frameworks (comparable LLM APIs).

• Strong understanding of prompt engineering, including prompt design, prompt

testing, grounding, context management, and output validation.

• Experience building AI or data-driven applications that use APIs, databases,

cloud services, and enterprise data sources.

• Ability to work directly with business stakeholders, lead discovery discussions,

clarify ambiguous requirements, and convert business problems into technical

solutions.

• Strong communication skills and the ability to explain AI concepts, risks, and

design choices in clear business language.

• Experience working in agile, fast-moving environments where prototypes must

quickly evolve into production-ready solutions.

Preferred Qualifications

• Financial-services experience, ideally within capital markets, Fixed Income,

trading, sales, risk, operations, or banking technology.

• Familiarity with Fixed Income products such as rates, cre…