Senior AI Architect – Multi-Agent Systems & Platform Infrastructure

Nivalto

San Francisco (CA)

Remote

USD 190,400 - 259,000

Full time

14 days+
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Benefits offered by this job

Equity: 2.0% – 3.0%
Bonus based on performance milestones

Job summary

A startup in fiduciary technology seeks a Senior AI Architect to develop the multi-agent orchestration layer for its innovative platform. The ideal candidate will have extensive experience in software engineering and AI architecture, focusing on secure and scalable systems. This role offers equity and competitive compensation, along with the opportunity to shape the future of intelligent automation for wealth management.

Qualifications

  • Experience with multi-agent orchestration frameworks, vector databases, and retrieval-augmented generation pipelines.
  • Ability to design complex AI systems with compliance in mind.
  • Experience integrating with OpenAI and other LLMs.

Responsibilities

  • Architect and implement the multi-agent orchestration framework for AURA.
  • Develop secure APIs and implement distributed observability frameworks.
  • Collaborate with ML engineers for AI integration.

Skills

Multi-agent orchestration frameworks
Deep knowledge of LLM orchestration
Hands-on coding ability in Python
Strong architectural thinking

Education

8–12+ years in software engineering or AI architecture

Tools

LangChain
Pinecone
OpenAI

Job description

Senior AI Architect – Multi-Agent Systems & Platform Infrastructure
Senior AI Architect – Multi-Agent Systems & Platform Infrastructure

Senior AI Architect – Multi-Agent Systems & Platform Infrastructure

Location: Remote (US Preferred)

Compensation: Equity-first (Pre-Seed) + Competitive Salary Post-Seed

Equity Range: 2.0% – 3.0%

Reports To: Director of AI Systems & Orchestration / Head of Engineering

Seniority: Senior-Level (Hands-On Architect)

Time Commitment: Fractional (8–12 hours/week, pre-seed equity-based)

About Nivalto + AURA

Nivalto is building AURA — the world’s first fiduciary-grade agentic operating system for ultra-high-net-worth families and their advisors. AURA orchestrates trust management, gifting, estate workflows, private investments, and family governance through a secure, multi-agent architecture grounded in privacy, compliance, and long-term legacy planning.

At its heart is an advanced orchestration layer where intelligent agents coordinate across documents, assets, decisions, advisors, and heirs — bringing real-time intelligence and advisor consent into wealth management for the first time.

Nivalto was recently profiled in Modus as “the stealth-mode startup building an army of agents for family offices,” recognizing its novel approach to AI-native orchestration, simulation logic, and multi-role collaboration.

Why Now?

Recent 2024–2025 Family Office Reports reinforce the urgency and scale of the market Nivalto is addressing:

  • Family offices are growing rapidly: from 8,030 in 2024 → 9,030 in 2025 → 10,720 by 2030
  • AUM is projected to grow from $3.1T to $5.4T by 2030
  • 89% feel underinvested in technology, and 49% are launching digitization initiatives
  • Only 11% currently use AI, but 94% expect to adopt AI in the next 5 years
  • Yet, fewer than 15% use AI for automation or compliance tasks — a gap Nivalto is built to close

Your Role: Senior AI Architect, Multi-Agent Systems & Platform Infrastructure

As the lead AI architect at Nivalto, you will build the orchestration and intelligence layer powering the world’s first fiduciary-grade multi-agent platform. You’ll architect memory, consent, and execution flows — and directly code the infrastructure that empowers advisors, families, and intelligent agents to collaborate securely and scalably.

Key Responsibilities

  • Architect and implement AURA’s multi-agent orchestration framework, including agent routing, vector memory, and bringing real-time intelligence and secure, role-aware coordination into wealth workflows.
  • Design prompt engineering pipelines, retrieval-augmented generation (RAG) systems, and persona-aware memory recall logic.
  • Develop secure APIs for coordinating agent outputs with user roles, documents, and structured data sources.
  • Design and implement distributed observability and tracing frameworks (e.g., OpenTelemetry, Jaeger) to monitor agent workflows, performance, and compliance in real time.
  • Create a reusable library of secure, auditable agent actions — enabling modular and deterministic orchestration workflows.
  • Design and optimize context ingestion pipelines across Vault, Circle, and external APIs to enable rich, persona-aware agent intelligence.
  • Embed privacy-aware, regulatory-aligned agent workflows (IRS, SEC, FINRA, HIPAA) into the orchestration layer.
  • Collaborate on SOC2-ready audit frameworks, consent middleware, and redaction systems.
  • Design safeguards and overrides to ensure human-in-the-loop (HITL) control where needed.
  • Oversee the integration of consent and compliance controls, ensuring agent actions adhere to user permissions and regulatory standards, with comprehensive auditability.
  • Implement zero-access encryption, role-based access control (RBAC), and privacy validation for all agent data flows and logs.

Hands-On Engineering Leadership

  • Write production-grade code and prototypes to drive PoC delivery, agent development, and orchestration testing.
  • Collaborate with backend and ML engineers to integrate OpenAI, Anthropic, Pinecone, LangChain, and Semantic Kernel components.
  • Develop and refine test plans, evaluation pipelines, and debug tools for cross-agent messaging and decision flows.
  • Lead evaluation-driven development (EDD) by defining live performance metrics, observability hooks, and continuous feedback loops for agent optimization.
  • Collaborate with UX/UI teams to deliver multimodal, adaptive, and agent-aware interfaces (e.g., dashboard widgets, voice UI, mobile).

Strategic Impact & Future-Proofing

  • Advise the Director of AI Systems on architectural roadmaps, performance optimizations, and future integrations.
  • Participate in investor diligence, PoC showcases, and high-stakes technical demos.
  • Help shape the long-term platform strategy, from Athena orchestration extensions to custom agents.
  • Design for future extensibility and integrations with third-party agents and tools
  • Design for adaptive learning, predictive analytics, and self-healing orchestration to ensure the platform remains at the forefront of intelligent, trusted automation.

What You Bring

Experience

• 8–12+ years in software engineering (full stack), AI architecture, or applied ML system design

o Multi-agent orchestration frameworks (LangChain, Semantic Kernel, Autogen)

o Vector databases (Pinecone, Weaviate, Redis)

o Retrieval-augmented generation pipelines (RAG)

Skills

• Deep knowledge of LLM orchestration, memory systems, and persona-aware prompt engineering

• Ability to design complex, regulated AI systems where explainability and compliance matter

• Hands-on coding ability (Python preferred), not just oversight

• Strong architectural thinking paired with iterative, collaborative product instincts

Preferred Background

• Experience integrating with OpenAI, Anthropic, Cohere, Hugging Face, or other LLMs

• Contributions to open-source AI orchestration or memory tools

• Prior work in regulated or high-trust industries (e.g., fintech, legaltech, insuretech, healthtech)

• Familiarity with wealth management platforms, fiduciary workflows, or document-heavy systems

Compensation & Growth

• Equity: 2.0% – 3.0% (Pre-Seed, milestone-based top-ups available)

• Bonus: Based on orchestration rollout, performance milestones, and PoC delivery

• Vesting: 4 years with 1-year cliff

Why It Matters

AURA isn’t just another AI add-on — it’s the world’s first agent-native operating system for fiduciary governance, wealth, and intergenerational decision-making. As the Principal AI Architect, you will shape the very intelligence layer that defines how wealthtech will operate for decades to come.

Apply Confidentially

careers@nivalto.com

Please include:

GitHub, open-source contributions, or code samples (if available)

LinkedIn or CV

A short note on why you’re excited to build the world’s first fiduciary-grade AI orchestration platform

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