Senior AI Solution Architect (Capital Markets & GenAI)

Job Title: Senior AI Solution Architect (Capital Markets & GenAI)

Location: Hybrid in Midtown, NYC (Preferred) or 100% Remote

Interview Process: Video Interview

Mandatory Candidate "Must-Haves"

• AI Solution Architect
• Capital Markets (e.g., fixed income, equities, derivatives, risk, compliance)
  • Generative AI and LL
• Capital Markets (e.g., fixed income, equities, derivatives, risk, compliance)
• Generative AI and LL
• Snowflake and Databricks
• Internal Security, Compliance, and Regulatory Frameworks
• Retrieval-Augmented Generation (RAG), Fine-Tuning Strategies, and Safety/Guardrails

***** We need: A senior AI Solution Architect with extensive/recent experience working in Trading/Capital Markets with Generative AI and LLM. Candidates need to have experience Architecting end-to-end AI solutions that leverage foundation models (OpenAI, Anthropic), integrating with enterprise data in Snowflake and Databricks. As well as translate business objectives into functional and technical AI/ML solution designs, including prompt engineering, retrieval-augmented generation (RAG), fine-tuning strategies, and safety/guardrails. Candidates must Design and oversee implementation of scalable AI services, pipelines, APIs, and integration points into Capital Markets systems and Ensure solutions adhere to internal security, compliance, and regulatory frameworks, particularly around explainability, bias, and model governance.

Job Description

We are seeking a highly skilled AI Solution Architect with Capital Markets experience to lead the design and delivery of next-generation AI solutions leveraging foundation models from OpenAI and Anthropic. This role is pivotal in bridging business domain needs with advanced GenAI technologies.

Key Responsibilities:

• Partner with business units (e.g., trading, research, compliance, operations) to identify and qualify high-impact GenAI use cases.
• Architect end-to-end AI solutions using foundation models (OpenAI, Anthropic), integrating with enterprise data in Snowflake and Databricks.
• Translate business objectives into functional/technical AI/ML designs, including prompt engineering, RAG, fine-tuning, and safety/guardrails.
• Design and oversee implementation of scalable AI services, pipelines, APIs, and integration points into Capital Markets systems.
• Ensure solutions adhere to internal security, compliance, and regulatory frameworks, particularly around explainability, bias, and model governance.
• Collaborate with data engineering teams on data readiness, governance, and accessibility for AI.
• Provide technical leadership throughout the model lifecycle and mentor engineers on GenAI best practices.

Required Qualifications:

• 5+ years of experience in AI/ML solution architecture, with a strong focus on Generative AI and LLMs.
• 3+ years of Capital Markets domain experience (e.g., fixed income, equities, derivatives, asset servicing, risk, compliance).
• Demonstrated experience architecting solutions with OpenAI, Anthropic, or similar LLM platforms.
• Strong familiarity with RAG, embeddings, prompt design, fine-tuning, and LLMOps.
• Hands-on experience with Snowflake, Databricks and modern data architectures.
• Solid understanding of data governance and access control in regulated environments.
• Familiarity with model risk management and compliance requirements (e.g., FINRA, SEC).
• Knowledge of cloud platforms (Azure, AWS, or Google Cloud Platform), and relevant AI/ML services.
• Experience with Vector DBs, LangChain, LLMOps platforms, or orchestration tools.
• Understanding of real-time data processing and API integration within Capital Markets systems.