Forward-Deployed AI Architect

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.

You are a hands-on technical leader who can combine strong software engineering skills with sound judgment about AI-enabled workflows and enterprise integrations. You can work through ambiguity, validate assumptions with evidence, and communicate technical trade-offs clearly to both business and engineering stakeholders.

• Demonstrated experience taking an applied AI or LLM-enabled workflow beyond the prototype stage and into operational use.

• Strong hands-on software engineering, solution architecture, API integration, and code-review capabilities.

• Experience translating incomplete, ambiguous, or conflicting discovery findings into implementable specifications and testable acceptance criteria.

• Sound judgment in choosing between structured business rules, retrieval-based approaches, AI reasoning, and human review, with a clear understanding of their respective limitations and failure modes.

• Practical experience with evaluation datasets, regression testing, continuous integration, and production observability.

• Ability to establish automated quality checks and evaluate systems using representative operational scenarios.

• Experience validating technical dependencies and integration requirements before committing to delivery estimates.

• Strong analytical and problem-solving skills, including the ability to challenge assumptions constructively and explain alternative approaches.

• Excellent written and verbal communication skills, with the ability to maintain clear technical documentation and communicate progress, risks, and decisions.

• Realistic estimation and planning skills, based on verified dependencies, available engineering capacity, and explicit assumptions.

• Ability to collaborate effectively with business stakeholders, client technology partners, engineering teams, and delivery leadership.

• Willingness to remain involved throughout discovery, implementation, testing, and evaluation, taking ownership of technical quality and delivery readiness.

• Experience with exception-heavy operational workflows or business-rule systems.

• Familiarity with travel, hospitality, or logistics operations.

• Experience deploying AI solutions on AWS.

• Availability to attend an in-person working session in Milan.