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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.