Lead AI/Agent Architect

New
F
Future WorksAI systems
Location: London Secondary Locations: Canada , United States Workplace: RemoteContractLead
Salary not disclosed
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Job Details

Experience
8+ years in software engineering, AI/ML, or solutions architecture
Required Skills
PostgreSQLPython

Requirements

  • Have 8+ years of experience in software engineering, AI/ML, or solutions architecture.
  • Have a strong track record designing and shipping production-grade systems.
  • Bring recent hands-on experience architecting LLM or multi-agent systems.
  • Have deep hands-on experience with agent orchestration, tool and function calling, state management, and retrieval.
  • Be expert in Python or an equivalent language.
  • Have experience with API and connector design and typed tool and interface design.
  • Have experience with modern data stores such as PostgreSQL.
  • Have designed end-to-end systems connecting data pipelines, model services, business logic, and user-facing applications under operational constraints.
  • Have experience designing guardrails, approval gates, auditability, and traceability for high-stakes, document-heavy domains.
  • Have practical experience taking sandbox or prototype systems to production, including performance, monitoring, deployment, and rollback.
  • Be comfortable using LLM code assistants and agentic engineering in fast, hypothesis-driven delivery cycles.

Responsibilities

  • Design and own the orchestrator agent, deal state machine, specialist-agent routing, stage handoffs, and cross-stage integration.
  • Design the typed tool layer for template population, market-data queries, financial analytics, clause extraction, and document assembly.
  • Define mandatory approval gates and review checkpoints, ensuring binding legal or financial actions require broker confirmation.
  • Own the sandbox data model and test scenarios, and define data residency, PII handling, audit logging, and zero-retention policies.
  • Validate automation feasibility stage by stage and translate automation boundaries into the system architecture.
  • Design for extension to Agency (Landlord Rep) workflows and other brokerage lines without rebuilding the platform.
  • Lead and direct AI/ML Engineers through build phases, managing orchestration and cross-stage integration.
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