Senior AI Architect - Multi-Agent Systems & Platform Infrastructure

NOE VALLEY AUTO WORKS, INC.
San Francisco, CA, United States
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Compensation
$190,400.0 - $259,000.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Software Debugging Middleware Python (Programming Language) Open Source Technology Role-Based Access Control Redis Software Engineering Data Streaming Data Ingestion Retrieval-Augmented Generation
+8 more
Large Language Models Multi-Agent Systems Prompt Engineering IT Architecture Kubernetes HuggingFace Production Code Software Coding

Job description

  • 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 (eg, 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 Back End 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 (eg, 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.

Requirements

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 (eg, fintech, legaltech, insuretech, healthtech)

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

About the company

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

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Good distractions

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