Head of AI / Principal AI Architect
Position Title : Head of AI / Principal AI Architect / ML Engineer / Data Scientist
Location : Hybrid – San Francisco (In-office days / week)
Position Type : Full-Time (Permanent or Contract)
Work Policy : Hybrid (No relocation assistance)
Start Timeline : ASAP
Compensation
- Base Salary : $, – $, (dependent on experience & level)
- Equity : ~% (flexible based on comp level and role)
- Notes : Compensation varies based on interview performance and final role level
Overview
Reimagining the $ trillion private wealth industry through AI, making elite alternative investments—like private equity and venture capital—accessible to a new generation of investors.
Founded :Stage : Seed (Raised ~$M)Revenue : Active customers with six-figure revenue and profitabilityBacked by : Y Combinator, Goodwater Capital, Phoenix Fund, PerpetuaWhy Join
Join a YC-backed, high-growth fintech startup with a live productBuild foundational AI infrastructure for a category-defining wealth platformCompetitive salary + equity with meaningful ownershipHigh-agency culture with a deep tech and product focusWork on cutting-edge agentic and multi-modal AI in productionRole Summary
Hiring a top-tier AI engineer to lead model development and architecture efforts for its AI wealth assistant. This is not a tooling or API integration role—this is for builders with deep experience in LLM development, agent frameworks, and multi-modal architectures .
You'll work directly with the CEO and CTO to create financial copilots, RAG-powered recommendation engines, and autonomous agents that analyze market conditions and help users build wealth.
Core Responsibilities
Architect and build generative AI systems for financial planning, analysis, and recommendationDesign and implement RAG pipelines for knowledge retrieval across financial documentsLead development of autonomous agents for user-facing advisory workflowsApply advanced prompting strategies (Tree of Thoughts, Constitutional AI, Agent protocol)Collaborate cross-functionally with product, design, and business teamsMust-Have Qualifications
Hands-on experience developing LLMs or foundation models , not just API usagePrevious work at a top AI lab or foundation model company , such as OpenAI, Anthropic, DeepMind, Google Brain, or Meta FAIRPhD (or equivalent advanced degree) in AI / ML from a top institution (Stanford, MIT, CMU, Berkeley, etc.)Deep technical expertise in : Generative LLMs (GPT-, Claude, LLaMA ) RAG optimization & hybrid search Multi-modal systems (text + voice) Agent orchestration for financial analysis or planningStrong collaboration and product mindset—able to work closely with non-technical teamsComfortable with startup hours and pace (expectation : ~am–pm, days / week)Preferred Qualifications
Published in top-tier AI conferences : NeurIPS, ICML, ACL, CVPRFintech or financial modeling experienceExperience leading AI / ML research teams or projectsExperience building zero-to-one AI-powered productsFamiliarity with Goodfin's tech stack : Python, TypeScript, Claude, LLaMA, DynamoDB, AWSDo Not Apply if the following :
Only used LLM APIs without hands-on model buildingCareer focus is outside of NLP / LLMs (, vision, robotics, traditional ML)Multiple short stints or lack of deep technical executionUnavailable for intense startup culture and long hoursInterview Process
Hiring Manager ScreenCTO Interview – Technical deep diveCEO Interview – Vision and mission alignmentSystem Design ( min) – Conversational chatbot architecture + hallucination mitigationCoding Round – Live or take-home (case-by-case)Behavioral Interview – With business teamOfferApplication Pre-Screen Questions (Mandatory)
Have you worked at a top AI lab or foundation model company (, OpenAI, DeepMind, Anthropic)?Have you personally developed or fine-tuned large-scale language models?Are you open to working am–pm, six days a week, during core build phases?#J-18808-Ljbffr
