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Head of AI / Principal AI Architect / ML Engin

  2025-11-05     ACT Consulting     San Francisco,CA  
Description:

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 profitability
  • Backed by : Y Combinator, Goodwater Capital, Phoenix Fund, Perpetua

    • Why Join

  • Join a YC-backed, high-growth fintech startup with a live product
  • Build foundational AI infrastructure for a category-defining wealth platform
  • Competitive salary + equity with meaningful ownership
  • High-agency culture with a deep tech and product focus
  • Work on cutting-edge agentic and multi-modal AI in production

    • Role 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 recommendation
  • Design and implement RAG pipelines for knowledge retrieval across financial documents
  • Lead development of autonomous agents for user-facing advisory workflows
  • Apply advanced prompting strategies (Tree of Thoughts, Constitutional AI, Agent protocol)
  • Collaborate cross-functionally with product, design, and business teams

    • Must-Have Qualifications

  • Hands-on experience developing LLMs or foundation models , not just API usage
  • Previous work at a top AI lab or foundation model company , such as OpenAI, Anthropic, DeepMind, Google Brain, or Meta FAIR
  • PhD (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 planning
  • Strong collaboration and product mindset—able to work closely with non-technical teams
  • Comfortable with startup hours and pace (expectation : ~am–pm, days / week)

    • Preferred Qualifications

  • Published in top-tier AI conferences : NeurIPS, ICML, ACL, CVPR
  • Fintech or financial modeling experience
  • Experience leading AI / ML research teams or projects
  • Experience building zero-to-one AI-powered products
  • Familiarity with Goodfin's tech stack : Python, TypeScript, Claude, LLaMA, DynamoDB, AWS

    • Do Not Apply if the following :

  • Only used LLM APIs without hands-on model building
  • Career focus is outside of NLP / LLMs (, vision, robotics, traditional ML)
  • Multiple short stints or lack of deep technical execution
  • Unavailable for intense startup culture and long hours

    • Interview Process

  • Hiring Manager Screen
  • CTO Interview – Technical deep dive
  • CEO Interview – Vision and mission alignment
  • System Design ( min) – Conversational chatbot architecture + hallucination mitigation
  • Coding Round – Live or take-home (case-by-case)
  • Behavioral Interview – With business team
  • Offer

    • Application 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


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