Solution Architect (CRE)

Future Works • New York, NY

8d

About The Position

Future Works is a US-focused, AI-native professional services firm building operational AI and data systems. The company develops custom data and AI platforms for institutional real estate owners, operators, and fund managers. These projects use fixed-fee, gate-based cycles, starting with a trusted data foundation and progressing to views, agents, and reports used across the client’s business.

The Solution Architect defines and owns the technical blueprint for a client-owned platform hosted in the client’s cloud environment. The role designs read-only integrations across portfolio systems, an AI layer for mapping, checking, abstracting, and answering questions, and security, auditability, and handover standards that enable the client’s team to extend the platform after the engagement. Working with the data and technology lead, full-stack engineers, and a business-outcomes partner, the architect helps turn fragmented real estate data and systems into a consistent asset record.

The role also shapes the target operating process and value case, guides technical decisions and delivery trade-offs within fixed-fee engagements and client-approved gates, and ensures the platform is production-ready and well documented for handover. The position requires overlap with US Eastern business hours for workshops, gate reviews, and client sessions.

Requirements

• At least 5 years of experience in Solution Architecture, Platform Architecture, or senior software engineering, with a strong record designing secure, production-grade enterprise systems.
• Hands-on design and deployment experience in Azure, including identity, network segregation, secrets management, and secure environment configuration.
• Experience designing a lakehouse or warehouse with layered data zones, ELT orchestration, reconciliation and data-quality frameworks, and immutable snapshots.
• Strong working knowledge of Python-based services, APIs, PostgreSQL or similar data stores, and modern web application architectures.
• Proven ability to design end-to-end solutions connecting data pipelines, business logic, analytics or machine-learning components, and operational user interfaces.
• Practical experience integrating with enterprise systems that cannot be changed, or equivalent experience in fragmented, ERP-heavy environments with a short real-estate learning curve.
• Good judgment on traceability, deterministic workflows, explainability, and release control so reported figures can be defended back to their sources.
• Experience with LLM-based extraction, retrieval with cited sources, agent orchestration, evaluation, and guardrails, including judgment about where AI should not affect reported numbers.
• Ability to work in fast, hypothesis-driven delivery cycles, demonstrate value quickly, and avoid leaving technical debt for others.
• Comfort using LLM code assistants and agentic engineering to improve speed, quality, and architectural clarity.
• Ability to run client technical workshops and explain and defend architecture decisions to a CFO, COO, or head of technology.
• Availability to overlap with US Eastern business hours for workshops, gate reviews, and client sessions.

Nice To Haves

• AWS experience in addition to Azure.
• Familiarity with Microsoft Fabric or Synapse and Power BI.
• Institutional real estate domain knowledge, including fund, entity, asset, and joint-venture hierarchies; rent rolls and operating statements; budget versus actual and T-12; debt covenants and test dates; locked underwriting as a benchmark; and the consequences of figures that do not reconcile.
• Experience with property accounting systems such as Yardi, MRI, or RealPage; investor and fund platforms such as Juniper Square; deal and leasing platforms such as Altrio or VTS; valuation tools such as ARGUS; and SharePoint and Excel as de facto systems of record.

Responsibilities

• Own end-to-end architecture across ingestion, storage, the canonical data model, data quality, model and agent services, reporting, and user-facing applications.
• Define a single-tenant platform in the client’s cloud tenancy, including identity, fund- and role-based access control, network isolation, secrets management, audit logging, test environments, and backups.
• Shape the schema linking funds, entities, assets, tenants, leases, loans, and joint-venture positions, along with mapping rules for third-party operators’ charts of accounts.
• Design read-only connectors for property accounting APIs, operator file intake, investor and deal platforms, SharePoint and Excel models, and loan and joint-venture document extraction.
• Design trust and audit mechanisms for reported figures, including deterministic calculations, source reconciliation, data checks and tolerance thresholds, exception routing, source-document lineage, and immutable snapshots.
• Architect AI capabilities and boundaries for operator-data mapping, loan and joint-venture term abstraction, source-cited portfolio question answering, drafted commentary, client approval workflows, evaluation, guardrails, and model-agnostic operation.
• Set non-functional requirements for performance, resilience, monitoring, deployment, rollback, and release readiness.
• Design migration of historical data from incumbent platforms, parallel runs, and the evidence required for client sign-off before legacy systems are retired.
• Translate business and operational logic into technical decisions, guiding the team on trade-offs, sequencing, and standards within fixed-fee delivery and client-signed gates.
• Shape the target operating process alongside the architecture and build a value baseline with the client’s finance team.
• Document the architecture, design decisions, and operating runbook so the client’s platform owner and team can extend the platform after the engagement.
• Run technical workshops with client data owners and defend architecture decisions to senior client stakeholders.

Benefits

• All-expenses-paid company retreats in unique locations for connection, learning, and growth.
• Competitive compensation package including equity and bonuses.
• Substantial participation in company profits.
• Clear performance-based growth path to C-level leadership.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed