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Principal AI Architect

The Talent Co-op

San Francisco (CA)

Hybrid

USD 200,000 - 350,000

Full time

4 days ago
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Job summary

A stealth-mode fintech startup is looking for a Principal AI Architect to define AI architecture and lead development efforts in financial technology. With a collaborative and innovative environment, this role offers competitive compensation, equity options, and the chance to make impactful contributions in a growing company.

Benefits

Competitive salary
Meaningful equity
Flexible remote work
Collaborative environment

Qualifications

  • Hands-on experience developing foundational models.
  • Experience at a top AI lab like OpenAI or DeepMind.
  • Proven ability to work cross-functionally with stakeholders.

Responsibilities

  • Define and build AI architecture from the ground up.
  • Lead a small team to create intelligent financial systems.
  • Focus on deep model development beyond traditional applications.

Skills

Generative AI
LLMs
Multi-modal models
Agentic AI systems
Prompting techniques

Education

PhD in AI or ML from a leading university

Tools

Python
TypeScript

Job description

Principal AI Architect Opportunity | San Francisco | Hybrid

A stealth-mode, seed-stage fintech startup is hiring a Head of AI / Principal AI Architect to lead AI development efforts in the private wealth space. This company has a live product, paying customers, and six-figure annual revenue, all while operating with under $2 million in funding.

About the Role

The selected candidate will define and build the AI architecture from the ground up, working directly with a small team of engineers (approximately nine) to create intelligent systems for financial decision-making. This position requires deep, hands-on model development experience, with a focus on foundational and multi-modal models, agentic AI systems, and sophisticated prompting techniques. It is not a role limited to LLM API integration or traditional application-layer work.

Compensation and Structure

  • Salary : $200,000 to $350,000, dependent on interview performance, experience, and location.
  • Equity : Flexible, around 2 percent based on compensation package.
  • Employment Type : Full-time or Contract.
  • Location : San Francisco (in-office 3 days per week; hybrid model).
  • Visa Sponsorship : H1-B transfers not supported.
  • Workload Expectation : Startup hours (approximately 9am to 9pm, six days a week).

Candidate Requirements

  • Hands-on experience developing foundation models; not limited to using prebuilt APIs.
  • Experience at a top AI lab or foundation model organization such as OpenAI, Anthropic, DeepMind, Google Brain, or Meta FAIR.
  • Advanced degree in AI or ML, preferably a PhD from a leading university (Stanford, MIT, Berkeley, CMU, etc.).
  • Deep technical expertise in generative AI, LLMs, multi-modal models (text and voice), retrieval-augmented .generation (RAG), and autonomous agents.
  • Familiarity with prompting methods such as Tree of Thoughts, Constitutional AI, and agent protocol frameworks.
  • Proven ability to work cross-functionally with product, design, and business stakeholders.

Exclusion Criteria

  • Candidates with only short-term roles in their background.
  • Candidates who have only used models but have not contributed to their development.
  • Backgrounds primarily focused on non-LLM fields such as computer vision, robotics, or traditional ML.

Preferred Qualifications

  • Publications in leading AI conferences (NeurIPS, ICML, CVPR, ACL).
  • Prior experience leading research teams or complex AI initiatives.
  • Experience building AI-driven products in startup or zero-to-one settings.
  • Domain knowledge in financial technology is a strong plus.

Technical Environment

  • Core stack includes React, Node, AWS, DynamoDB.
  • Acceptable tools and frameworks : LLaMA, Claude, Python, TypeScript, chatbot development, RAG pipelines, agent frameworks.

Interview Process

  • Interview with the CEO.
  • System Design (45 minutes) : Design a conversational chatbot, focusing on architecture, evaluation, and hallucination mitigation.
  • Coding Round : May include a take-home assignment, depending on the candidate.
  • Behavioral Round with the broader business team.
  • Offer.

Why Join

  • Competitive salary and meaningful equity.
  • Flexible remote work within a hybrid setup.
  • A rare opportunity to drive AI innovation in a high-potential sector.
  • Direct influence on core product and company trajectory.
  • Collaborative and fast-moving environment focused on breakthrough ideas.
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