Turn platform capability into usable workflows.
AI engineer + solution architect: approved model APIs, retrieval sources, tool integrations and access-aware workflows.
Client retains platform, identity and production-release approval.AI capacity for the
platform and the business.
Support enterprise and group AI platform owners, product teams and sponsors with people focused on governed delivery.
DELIVERY ROLES
Where the roles meet the work.
Team composition is agreed against your platform, scope and delivery responsibilities.
Move a priority from intake to acceptance.
AI product lead + programme principal: use-case scope, dependencies, acceptance criteria and sponsor decisions.
Client retains prioritisation, risk acceptance and funding decisions.Make readiness and usefulness visible.
Evaluation specialist + adoption lead: test coverage, human-review design, user enablement and evidence of useful repeat adoption.
Client retains control sign-off and validation of financial outcomes.WORK WITHIN THE BANK
Agree the boundaries before access.
- Identity & access
- Use client-approved identities, least-privilege permissions and controlled environments. No shared credentials or unsanctioned production access.
- Data & AI use
- Agree permitted data, approved model endpoints, retention and cross-border restrictions. No client information in personal AI accounts or unapproved tools.
- Human accountability
- Name the approvers for outputs, model changes, releases and exceptions. Regulatory and risk approvals remain with your authorised control owners.
- Delivery & offboarding
- Define source-code ownership, audit evidence, documentation, knowledge transfer and timely access removal.
- GCC operating model
- Confirm team location, overlap hours, reporting line, procurement route and local onboarding requirements.
WORK WITH DOCKIO
Discuss your team requirement.
Share the work, specialist capabilities and delivery priorities you need to support.
NEXT STEPS
Review the role profilesReview procurement information