Ongoing
A senior data and AI engineer on call, without hiring one
Data pipelines and AI agents need care after launch: sources change, models improve and new use cases appear. With a monthly retainer you keep direct access to the engineer who knows your system, for a fraction of a full-time hire.
Sounds familiar?
- You cannot justify a full-time data or AI engineer yet
- Your system was built by someone who is no longer available
- New automation ideas pile up with nobody to build them
What I deliver
Monitoring and maintenance
Pipeline and agent health checks, fixes when sources or APIs change, and cost reviews.
Model and quality updates
Moving to better or cheaper models when it pays off, re-running evaluations to confirm quality holds.
Continuous improvements
A fixed monthly budget of hours for new automations, reports and agent capabilities.
Direct access
A named senior engineer you can message, not a ticket queue.
Tools I use
Google CloudBigQueryVertex AIdbtAirflowClaude Code
Questions
Do I need a retainer after a project?
No. Every project ends with a full handoff and documentation, so your team can run it alone. The retainer is for teams who prefer to keep an expert involved.