Starting a remote fractional AI CTO engagement

Once you have decided to bring in part-time technical leadership, define what that person is responsible for. Reviewing an architecture, helping select a vendor and directing a team require different working relationships.

This guide covers the start of an engagement. If you are still choosing between an engineer, an adviser and a permanent leader, begin with the role comparison.

Begin with a decision the business needs

Choose a decision with a recognizable outcome. It could concern what remains before an AI feature can be released, which responsibilities the next hire should cover or whether part of the architecture should change.

The initial proposal should name the material to review and the output to deliver. An architecture recommendation might include alternatives, trade-offs and outstanding checks. Agree the price and timetable before the investigation begins.

Unknown dependencies should be made visible in the result. Resolving them may need a separate engagement. An initial review should not quietly become responsibility for fixing the entire product.

Make decision rights explicit

The mandate can delegate more or less authority, but it needs to say which. A technical recommendation alone does not authorize deployment, hiring or spending.

Establish a review routine

Agree review windows that work for the team. Before a discussion, share the decision to make, the available options and missing evidence. Afterward, record what was chosen and who owns the next action.

A short architectural decision record, or ADR, can help with choices that affect the system. AWS's ADR guidance describes a process for proposing and reviewing them. Use records the team can maintain and consult as the work changes.

If code review is included, define which changes will be reviewed and who responds to the feedback. Reviews should help the internal lead continue the work rather than create a competing chain of instructions.

Define hiring support as work

Describe the tasks behind a request for an AI engineer. Data preparation, API integration and production operation can call for different experience. The job description should follow the work that needs doing.

The engagement may include a role description and a technical evaluation rubric. Hiring terms and the final decision remain with whoever has the agreed authority. Candidate sourcing or a completed hire by a particular date should not be assumed to be included.

Review the engagement at its endpoint

At the end of the initial work, ask which decision has been made, what remains unresolved and who can carry it inside the company. The result may support continued reviews, a specific implementation project or a permanent hire.

If the collaboration continues, define the next responsibilities and time commitment. If it ends, leave decision records, reviewed changes and open work accessible to the team. Remove access that is no longer required.

Pharosyne's fractional CTO support can be scoped around AI architecture and technical decisions. Send the next decision your team needs to make, who owns it today and what evidence is available. A defined first engagement gives both sides a basis for deciding whether to extend the work.