Forward-Deployed AI Architect

Location: Remote from Italy, Albania, Bulgaria, Cyprus, Czech Republic, Estonia, Greece, Hungary, Lithuania, Macedonia, Moldova, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, or Ukraine; includes an in-person working session in Milan. Ability to travel is required.

Company

hirify.global delivers applied AI engineering and technical delivery for enterprise client workflows.

What you will do

• Lead technical delivery of an AI-assisted operations platform for travel disruption management, covering service-request routing, hotel ranking and recommendations, and case closure with billing reconciliation and downstream handoff.
• Inspect code, infrastructure, APIs, and operator workflows; establish a technical baseline with verified dependencies, specifications, assumptions, acceptance tests, and source references.
• Build and review critical components, guide engineers, and prove an end-to-end path through request receipt, operational-data retrieval, recommendation, human approval, and system handoff.
• Design maintainable separation between operational facts, business policies, and software logic, including versioned rules, approval workflows, replay, traceability, and rollback.
• Own engineering quality and evaluation through code reviews, automated CI checks, integration tests, representative operational cases, decision logs, monitoring, access controls, failure recovery, and reproducible evaluation evidence.
• Maintain architecture and decision records, raise blockers with options and delivery impact, demonstrate working increments, and provide maintainable code, documentation, and handover.

Requirements

• Evidence of taking an applied AI or LLM-enabled workflow beyond a prototype into operational use.
• Strong hands-on software engineering, architecture, API integration, and code-review skills.
• Experience turning incomplete or conflicting discovery material into implementable, testable specifications.
• Sound judgment regarding structured rules, retrieval, AI reasoning, human review, and their failure modes.
• Practical experience with evaluation datasets, regression testing, CI, and production observability.
• Confidence challenging assumptions, explaining alternatives, and escalating decisions constructively across business and engineering teams.
• Clear, concise communication and realistic estimation based on verified dependencies and available capacity.
• Ability to provide earliest start date, realistic weekly availability, and ability to travel for an in-person working session in Milan.

Nice to have

• Experience in exception-heavy operations, business-rule systems, travel, hospitality, or logistics.
• Familiarity with AWS-based AI deployments.

Culture & Benefits

• Contract engagement with direct collaboration across operational experts, client technology partners, and engineers.
• Technical ownership continues from initial working sessions through delivery and evaluation.
• In-person working session in Milan with travel required.

Hiring process

• Technical baseline and dependency review precede build commitments.
• Delivery is evaluated through working end-to-end increments, automated CI tests, acceptance cases, rule-change replay results, decision traces, and documented limitations supporting a Go/No-Go decision.