Forward-Deployed AI Architect

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Forward-Deployed AI Architect based in Spain.

Take a leading role in delivering an AI-assisted operations platform designed to streamline complex travel disruption management workflows. You will transform operational knowledge, existing software, and business requirements into a reliable, testable solution that integrates AI capabilities with established systems. Working at the intersection of AI engineering, software architecture, and operational delivery, you will own the technical approach from discovery through implementation and evaluation.

You will collaborate directly with business experts, client technology partners, and engineering teams to ensure solutions are practical, maintainable, and measurable. The role emphasizes hands‑on technical leadership, human oversight, traceable decisions, and evidence-based delivery rather than architecture advice alone. This remote contract opportunity offers the chance to solve complex real‑world problems while shaping an AI-enabled platform for enterprise operations.

• Establish a reliable technical baseline: Inspect existing code, infrastructure, APIs, and operational workflows before estimating development effort. Translate discovery findings into clear specifications, acceptance criteria, source references, inputs, outputs, and exclusions.

• Validate requirements and assumptions: Distinguish confirmed requirements from recommendations and assumptions. Resolve contradictions with the appropriate stakeholders rather than implementing ambiguous requirements without approval.

• Prove critical integrations early: Build and review essential components, guide engineers, and demonstrate an end‑to‑end workflow in the client's test environment, from receiving a request and retrieving operational data to generating recommendations, obtaining human approval, and completing system handoffs.

• Verify integration readiness: Validate API access, write permissions, event contracts, error handling, and downstream system dependencies. Confirm that components work together rather than relying solely on documentation or isolated tests.

• Design maintainable business rules: Separate operational facts, business policies, and software logic. Work with designated business owners to define rule precedence, exceptions, validation, and approval processes.

• Manage rule changes and human oversight: Keep draft and inferred rules separate from approved policies. Enable versioned updates, historical replay, traceable approvals, and rollback without requiring a software release. Escalate cases that cannot be resolved confidently through established rules.

• Own engineering quality and evaluation: Review and test code, including AI-generated code, against the agreed architecture. Establish automated CI checks, integration tests, representative operational scenarios, and production monitoring.

• Ensure traceability and operational resilience: Track the exact application, rule, and data versions used during evaluations. Implement decision logs, access controls, failure recovery, and appropriate observability.

• Define readiness and performance measures: Agree on workflow quality, latency, operating costs, and test‑readiness criteria with the client and engineering team. Provide reproducible evaluation results and documented limitations to support informed Go/No‑Go decisions.

• Communicate technical progress and risks: Maintain concise architecture documentation and decision records. Escalate blockers with supporting evidence, clear ownership, required decisions, and delivery impact.

• Support realistic delivery planning: Assess feasibility before…