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About the Role

Design and build an AI agent system to manage a complex, high-value transaction workflow for a large enterprise client, from initial engagement through close-out, across a multi-stage process. As the Lead AI/Agent Architect, you will own the technical track, designing the agent orchestration model, tool-use architecture, and human-in-the-loop protocol, and standing up the secure sandbox environment. You will turn a fragmented, document-heavy operational workflow into a secure, auditable, and extensible agent system, validating where automation ends and expert judgment begins.

Responsibilities

Own the orchestrator agent that holds the deal state machine and routes work to one specialist agent per stage, defining stage handoff protocols and cross-stage integration.
Design the typed tool layer (template population, market-data query, financial analytics, clause extraction, document assembly) as the integration seam that binds to sample data in the sandbox and to live systems in production.
Define the mandatory approval gates (engagement agreement issuance, LOI execution, lease signature, invoice issuance) and review checkpoints (requirements-brief sign-off, short-list, negotiation positioning), ensuring the agent never executes binding legal or financial actions without broker confirmation.
Own the sandbox data model and test scenarios, and define the security, compliance, and data-governance approach: data residency, PII handling, audit logging, and a zero-retention policy with no training on client or deal data.
Validate the technical feasibility of the automation hypotheses stage by stage and translate the automation boundary findings into architecture.
Architect the system with explicit extensibility to Agency (Landlord Rep) workflow and other brokerage lines, producing a platform foundation rather than a point solution.
Lead and direct the AI/ML Engineers through the build phases, managing orchestration and cross-stage integration while engineers build per-stage capabilities in parallel.

Requirements

8+ years in software engineering, AI/ML, or solutions architecture, with a strong track record of designing and shipping production-grade systems.
Recent hands-on experience architecting LLM or multi-agent systems.
Deep, hands-on experience with agent orchestration, tool and function calling, state management, and retrieval, ideally in production rather than prototypes.
Expert Python (or equivalent), API and connector design, typed tool and interface design, and modern data stores such as PostgreSQL.
Proven ability to design end-to-end solutions connecting data pipelines, model services, business logic, and user-facing applications under real operational constraints.
Experience designing guardrails, approval gates, auditability, and traceability for high-stakes, document-heavy domains where decisions must be explainable and reviewable.
Previous experience in commercial real estate, legal, financial services, or another structured, document-driven transaction domain is highly preferred.
Practical experience taking a sandbox or prototype system to production through connector and tool abstraction, including performance, monitoring, deployment, and rollback.
Comfort utilizing LLM code assistants and agentic engineering to improve speed, quality, and architectural clarity.
Ability to work effectively in fast, hypothesis-driven delivery cycles where the focus is on proving value quickly without creating unnecessary technical debt.

Skills

Agent Orchestration
Tool and Function Calling
State Management
Retrieval
Python
API Design
Connector Design
Typed Tool Design
Interface Design
PostgreSQL
Systems Thinking
Human-in-the-Loop Design
Governance Design
LLM Code Assistants
Agentic Engineering

Location

Remote

Work Type

Remote
Fully remote

Experience Level

8+ years

Benefits

Work from anywhere, forever
Connect deeply - Immersive, all-expenses-paid company retreats
Share in the upside - Competitive compensation package including equity, bonuses, substantial participation in company profits with a clear growth path to C-Level leadership based on performance.

About the Company

Future Works is a US-focused, AI-native professional services firm building operational AI and data systems.
Foundation beliefs: optimization lowers need for resources, which increases sustainability and resilience.
Mission: Collapse timelines to operational transformation of high footprint companies in energy, real estate, data and beyond.
Achieve mission by building flawless, AI-powered systems.
Goal: Become world's best Service-as-Software company.
Ideal candidate has a keen interest in building symbiotic human-AI systems, high energy, high agency, and a passion for bending time.