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Nivalto

Senior AI Architect – Multi-Agent Systems & Platform Infrastructure

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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

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

Seniority level

  • Seniority level

    Executive

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Design, Art/Creative, and Information Technology

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