Posted Dec 22, 2025

Senior AI Architect – Multi-Agent Systems & Platform Infrastructure

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Principal 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 Stage: Pre-Seed → Seed 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: Principal 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 AI Systems Design & Architecture • 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. Consent-Aware Intelligence & Privacy • 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 • Proven experience architecting: o Multi-agent orchestration frameworks (LangChain, Semantic Kernel, Autogen) o Vector databases (Pinecone, Weaviate, Redis) o Retrieval-augmented generation pipelines (RAG) o Secure API design, cloud-native AI platforms (AWS SageMaker, Bedrock, CoreWeave) 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) • Salary: Competitive post-Seed • 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 [email protected] 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 Apply tot his job