Solution Architect (CRE)

Future Works • New York, NY

6d

About The Position

Future Works is a US-focused, AI-native professional services firm building operational AI and data systems. The company works with high-footprint industries, including energy, real estate, and data, and aims to accelerate operational transformation through AI-powered systems.

The Solution Architect designs the technical blueprint for custom data and AI platforms serving institutional real estate owners, operators, and fund managers. These fixed-fee, gate-based engagements begin with a trusted data foundation and deliver the views, agents, and reports used across the client’s business. The architect is accountable for the architecture of a client-owned platform in the client’s cloud environment; read-only integrations across portfolio systems; an AI layer for mapping, checking, abstracting, and answering; and security, auditability, and handover standards that allow the client’s team to extend the platform after the engagement.

Working with the data and technology lead, full-stack engineers, and a partner focused on business outcomes, the Solution Architect helps transform fragmented real estate systems and records into a connected asset record. The work spans architecture, cloud environment design, canonical data modeling, integration, trust and audit controls, AI services, production hardening, legacy retirement, process design, value measurement, technical leadership, and client handover.

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.
• Strong working knowledge of Python-based services, APIs, PostgreSQL or similar data stores, and modern web application architectures.
• Experience designing end-to-end solutions connecting data pipelines, business logic, analytics or machine learning components, and operational user interfaces.
• Ability to work effectively in fast, hypothesis-driven delivery cycles that prove value quickly without creating inherited technical debt.
• Comfort using LLM code assistants and agentic engineering to improve speed, quality, and architectural clarity.
• Ability 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.
• Experience designing a lakehouse or warehouse with layered zones such as raw, mapped, validated, and locked data (or a medallion equivalent), ELT orchestration, reconciliation and data quality frameworks, and immutable snapshots.
• Practical experience with systems that cannot be changed, such as property accounting platforms (Yardi, MRI, RealPage), investor and fund platforms (Juniper Square), deal and leasing platforms (Altrio, VTS), valuation tools (ARGUS), and SharePoint and Excel as de facto systems of record.
• Equivalent experience in another fragmented, ERP-heavy landscape, provided the real estate learning curve would be short.
• Institutional real estate domain knowledge, including fund, entity, asset, and JV hierarchies; rent rolls and operating statements; budget versus actual and T-12; debt covenants and test dates; locked underwriting; and the consequences of figures that do not tie.
• Good judgment around traceability, deterministic workflows, explainability, and release control for figures that must be defensible back to their sources.
• Experience with LLM-based extraction, retrieval with cited sources, agent orchestration, evaluation, and guardrails, and sound judgment about where AI should not affect reported numbers.
• Client-facing presence and ability to run technical workshops with client data owners and defend architecture decisions to a CFO, COO, or head of technology.

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 backup.
• Work with the data and technology lead to shape the schema linking funds, entities, assets, tenants, leases, loans, and JV positions, and define mapping rules for third-party operator charts of accounts.
• Design read-only connectors for property accounting APIs, monthly operator file intake, investor and deal platform feeds, SharePoint and Excel models, and loan and JV document extraction.
• Architect trusted reporting workflows, including deterministic calculations, source reconciliation, data checks and tolerance thresholds, exception routing, source-document lineage, and immutable snapshots for closing models, quarterly projections, and month-end.
• Define where AI agents operate and where they must stop, including operator-data mapping, loan and JV term abstraction, sourced portfolio-question retrieval, drafted commentary, client approval workflows, evaluation, guardrails, and model-agnostic design.
• Set non-functional requirements for performance, resilience, monitoring, deployment, rollback, and release readiness so the platform can operate beyond the pilot and through quarter-end close.
• Design migration of historical data from the incumbent platform, the parallel run, and the evidence needed for the client to approve switching off the old system.
• Translate business and operational logic into technical decisions and guide the team on trade-offs, sequencing, and standards within fixed-fee engagements 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, decisions, and operating runbook so the client’s named platform owner and team can extend the platform after the engagement.
• Run technical workshops with client data owners and defend architecture decisions with senior client stakeholders.

Benefits

• All-expenses-paid company retreats in unique locations.
• 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