Senior AI Architect - Multi-Agent Systems & Platform Infrastructure
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+8 more
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
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
MLOps And AI Driven Development
How to Become an AI Engineer
What is Agentic Programming and Why Should Developers Care?
Navigating the AI Shift