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Executive Rag Jobs in California (NOW HIRING)

Zania, Inc

Applied AI Engineer

Palo Alto, CA · On-site

$180K - $250K/yr

Develop an explainable AI system for risk assessment, allowing auditors and executives to understand and trust the AI's reasoning on high-stakes decisions. * Build an advanced RAG pipeline over a ...

Create Music Group

Staff AI Engineer

Los Angeles, CA · On-site

... and executive forums. It's a high-autonomy seat for someone who's comfortable deciding what to ... Design RAG pipelines, retrieval architectures, and semantic search grounded in CreateOS structured ...

Drata Inc

Applied Research Engineer

San Francisco, CA · On-site

Watch our CEO, Adam Markowitz, discuss the hyper-growth journey, from $0 to $100M ARR in just four ... Experience with RAG systems: chunking strategies, vector databases, retrieval optimization

Headspace

Director, AI Architect

San Francisco, CA · On-site +1

... RAG), and real-time personalization, with a relentless focus on reliability, safety, and member impact. * Partner directly with the executive team, product leadership, and senior engineering ...

Drata Inc

Senior Applied Research Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Watch our CEO, Adam Markowitz, discuss the hyper-growth journey, from $0 to $100M ARR in just four ... Experience with RAG systems: chunking strategies, vector databases, retrieval optimization

York Risk Services

VP AI Engineering

Los Angeles, CA · On-site

$194K - $250K/yr

Establish standards for LLM integration, retrieval-augmented generation (RAG), multi-agent ... Translate executive-level business priorities into scalable AI platform capabilities and delivery ...

Sedgwick

VP AI Engineering

Los Angeles, CA · On-site

$194K - $250K/yr

Establish standards for LLM integration, retrieval-augmented generation (RAG), multi-agent ... Translate executive-level business priorities into scalable AI platform capabilities and delivery ...

Infosys Limited Digital

Haystack (RAG pipelines) * AutoGen (agent collaboration) * LlamaIndex (document indexing ... executives and stakeholders in a clear and concise manner. * Act as a person running the project ...

Headspace

Director, AI Architect

San Francisco, CA

... RAG), and real-time personalization, with a relentless focus on reliability, safety, and member impact. * Partner directly with the executive team, product leadership, and senior engineering ...

CrowdStrike

Sr. Data Scientist (Hybrid)

Sunnyvale, CA · Hybrid

Represent the organization in executive reviews and drive alignment on major technical and product ... LLMs, RAG, Agentic AI, Multi-Agent Systems, AI Evaluation * Vector Search, Hybrid Search ...

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Applied AI Engineer

Zania, Inc

Palo Alto, CA • On-site

$180K - $250K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 6 days ago

Job description

Why Zania
Every enterprise spends millions on Governance, Risk, and Compliance. It's one of the most critical - and most painful - parts of running a business. The industry has been dominated by legacy platforms with notoriously low NPS scores for decades. It's completely ripe for disruption.
Zania is building agentic AI for GRC to solve this problem. We're building intelligent agents that execute complex risk and compliance workflows with full explainability - not dashboards, not copilots, but agents that do the work. We've found exceptional product-market fit and are scaling fast.
Why join:
  • Dream Customers: FAANG companies, Big 4 firms, and a portfolio of the world's most notable enterprises.
  • Tier 1 Backing: Series A led by NEA, with Anthropic and Menlo Ventures. $18M raised to build a generational company.
  • World-Class Team: AI and security leaders from Airbnb, Microsoft, Bain, Deloitte, PwC, Brex, and Instacart.
  • Pioneering Technology: Our engineers and GRC experts work at the absolute forefront of applied AI, building agentic systems that will define the future of compliance.
  • Hyper-Growth: 10x ARR growth in the last year.
  • Competitive Compensation & Equity.

The role
You will build AI systems designed to outperform the world's leading experts in Governance, Risk, and Compliance. Not research. Not prototypes. Production systems with a fanatical focus on accuracy, explainability, and responsible design. You will own the AI-native products that set a new global standard for GRC.
We use an in-person work model and offer relocation assistance.
What you'll do
  • Build & fine-tune models. Fine-tune foundation models on proprietary data and implement novel techniques to achieve world-class accuracy on complex GRC tasks.
  • Develop AI-native workflows. Build sophisticated, multi-step agentic workflows that automate complex GRC processes - from risk assessment to compliance monitoring to evidence collection.
  • Champion responsible AI. Implement and pioneer methods for AI explainability and safety. Our systems must be transparent, auditable, and fair. This is non-negotiable in our domain.
  • Drive innovation. Rapidly prototype, evaluate, and integrate state-of-the-art research (agents, RAG, new architectures) into reliable, production-grade features.

Representative projects
  • Build an AI agent that analyzes thousands of regulatory documents and internal controls, identifying compliance gaps with higher accuracy than a team of human experts.
  • Develop an explainable AI system for risk assessment, allowing auditors and executives to understand and trust the AI's reasoning on high-stakes decisions.
  • Build an advanced RAG pipeline over a massive corpus of unstructured company data to produce precise, verifiable assessments against complex compliance requirements.
  • Partner with GRC subject matter experts to create ground-truth datasets for tasks like third-party risk evaluation, then fine-tune models that become the industry standard.

What you have
  • 3+ years in an applied AI or machine learning engineering role.
  • Proven product sense. You've shipped reliable, production-scale ML products. You know how to use offline evaluation and online experimentation to achieve high-performance results.
  • Hands-on applied AI expertise. Direct experience building with LLMs - fine-tuning, RAG, and agentic systems. Not theoretical. You've put these into production.
  • High agency. You take full ownership of outcomes, move with a bias for action, and have a relentless drive for world-class accuracy. You see constraints as design problems, not blockers.
  • Strong communication. You can work closely with security and GRC research counterparts and articulate technical tradeoffs clearly.

Minimum Qualifications
  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
  • 3+ years of experience in applied AI, machine learning engineering, or a related technical role
  • Demonstrated hands-on experience building and deploying LLM-based systems (fine-tuning, RAG, or agentic workflows) in a production environment
  • Strong written and verbal communication skills - you will collaborate closely with GRC subject matter experts and must translate technical tradeoffs clearly to non-technical stakeholders

Compensation & benefits
  • Competitive salary + significant equity
  • Flexible PTO
  • Medical, dental, and vision insurance
  • Meals and snacks in the office
  • Relocation and immigration support

Zania is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.

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