Where agentic engineering and human experience converge to deliver enterprise outcomes.
The Role
Embed with Fixed Income teams to identify AI use cases, design and build production-grade generative AI solutions using Python and LLM SDKs, implement RAG and retrieval pipelines, apply prompt engineering, ensure security/compliance, and drive adoption and scaling across financial-services workflows.
Summary Generated by Built In
Bounteous is a premier end-to-end digital transformation consultancy dedicated to partnering with ambitious brands to create digital solutions for today’s complex challenges and tomorrow’s opportunities. With uncompromising standards for technical and domain expertise, we deliver innovative and strategic solutions in Strategy, Analytics, Digital Engineering, Cloud, Data & AI, Experience Design, and Marketing.
Our Co-Innovation methodology is a unique engagement model designed to align interests and accelerate value creation. Our clients worldwide benefit from the skills and expertise of over 4,000+ expert team members across the Americas, APAC, and EMEA. By partnering with leading technology providers, we craft transformative digital experiences that enhance customer engagement and drive business success.
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.
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.
What we are looking for
Required qualifications
• 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.
Required qualifications
• 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, credit, securitised products, municipals, FX, or derivatives.
• Experience with retrieval-augmented generation, vector databases, embeddings, semantic search, and document intelligence.
• Experience designing AI evaluation frameworks, including test datasets, quality metrics, human review loops, and model performance monitoring.
• Familiarity with enterprise AI governance, model risk management, compliance review, data privacy, and regulatory expectations in financial services.
• Experience in a forward-deployed, consulting, client engineering, post-sales engineering, or technical delivery role.
• Exposure to cloud platforms, secure APIs, authentication/authorisation, and enterprise integration patterns.
Success in this role looks like:
• The Fixed Income business sees the FDE as a trusted technical partner who understands both the business context and the engineering requirements.
• AI use cases are prioritised based on measurable business value, feasibility, data readiness, and governance requirements.
• Prototypes move quickly but responsibly into controlled pilots and production pathways.
• AI outputs are tested, explainable, monitored, and aligned with enterprise risk and compliance expectations.
• Business users adopt the solutions because they improve real workflows reduce manual effort, and support better decision-making.
• Financial-services experience, ideally within capital markets, Fixed Income, trading, sales, risk, operations, or banking technology.
• Familiarity with Fixed Income products such as rates, credit, securitised products, municipals, FX, or derivatives.
• Experience with retrieval-augmented generation, vector databases, embeddings, semantic search, and document intelligence.
• Experience designing AI evaluation frameworks, including test datasets, quality metrics, human review loops, and model performance monitoring.
• Familiarity with enterprise AI governance, model risk management, compliance review, data privacy, and regulatory expectations in financial services.
• Experience in a forward-deployed, consulting, client engineering, post-sales engineering, or technical delivery role.
• Exposure to cloud platforms, secure APIs, authentication/authorisation, and enterprise integration patterns.
Success in this role looks like:
• The Fixed Income business sees the FDE as a trusted technical partner who understands both the business context and the engineering requirements.
• AI use cases are prioritised based on measurable business value, feasibility, data readiness, and governance requirements.
• Prototypes move quickly but responsibly into controlled pilots and production pathways.
• AI outputs are tested, explainable, monitored, and aligned with enterprise risk and compliance expectations.
• Business users adopt the solutions because they improve real workflows reduce manual effort, and support better decision-making.
Why Bounteous
Bounteous is building practical, production-focused AI solutions for complex enterprise
environments. This role offers the opportunity to work at the intersection of generative
AI, capital markets, and business transformation, helping a leading financial institution
apply AI to high-value Fixed Income workflows in a responsible and scalable way
Information Security Responsibilities
- Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols
- Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets
- Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.)
- Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information
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Bounteous is proud to be an equal opportunity employer. Bounteous does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law. Bounteous is willing to sponsor eligible candidates for employment visas.
Skills Required
- Bachelor's degree in Computer Science, Engineering, Mathematics, Finance, or related field or equivalent experience
- Strong hands-on experience with Python and modern software engineering practices
- Practical experience building applications using Python and OpenAI or Claude Agent SDK and other agentic/LLM APIs
- Strong understanding of prompt engineering: design, testing, grounding, context management, output validation
- Experience building AI or data-driven applications using APIs, databases, cloud services, and enterprise data sources
- Ability to work directly with business stakeholders, lead discovery, and convert business problems into technical solutions
- Strong communication skills to explain AI concepts, risks, and design choices to business audiences
- Experience working in agile, fast-moving environments where prototypes evolve into production-ready solutions
- Experience with retrieval-augmented generation, vector databases, embeddings, semantic search, and document intelligence
- Financial-services experience, ideally within capital markets, Fixed Income, trading, sales, risk, operations, or banking technology
- Experience designing AI evaluation frameworks, including test datasets, quality metrics, human review loops, and monitoring
- Familiarity with enterprise AI governance, model risk management, compliance review, data privacy, and regulatory expectations in financial services
- Experience in forward-deployed, consulting, client engineering, post-sales engineering, or technical delivery roles
- Exposure to cloud platforms, secure APIs, authentication/authorisation, and enterprise integration patterns
What the Team is Saying
Amanda
EVP, Operations
Abbey
VP of Business Development, Convenience Retailing
Jon
HelpDesk Manager
Markel
People Experience Advisor
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The Company
What We Do
Bounteous is a global AI Services firm where agentic engineering and human experience converge to deliver transformative business outcomes for the enterprise. We help organizations design, build, and scale AI-driven products, platforms, and processes. With more than 5,000 team members worldwide, Bounteous delivers AI that sticks, powering adoption and outcomes that move organizations from experimentation to true transformation.
Why Work With Us
Bounteous combines strategy, experience design, engineering, data, and AI to help leading brands build intelligent systems that are practical, scalable, and measurable. People join us to work on meaningful transformation initiatives, collaborate with smart and supportive teams, and help shape what’s next in AI and digital experience.
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