IBM data and AI consultants and platform engineers

Bring in watsonx engineers to assess AI use cases against available data and implement applications with measurable acceptance criteria. They can compare model behaviour against a test set before connecting an application to business workflows.

• watsonx.ai development: Build retrieval-augmented generation applications and model endpoints, with evaluation datasets to check response quality.
• watsonx.governance configuration: Configure model documentation and approval workflows. Map monitoring requirements to the models and deployment environments supported by your installation, including evidence needed for internal review.

Cognos Analytics consultants configure reporting models and dashboards around agreed business definitions. Bring them in when finance reports disagree with operational figures or existing reports need changes that internal teams cannot absorb.

Work can include Framework Manager model maintenance and data module development. Specialists can also review report queries and database access paths to investigate slow execution. For ongoing reporting responsibilities, they maintain scheduled outputs and access permissions, with regression checks when source schemas or metric definitions change.

IBM data engineers connect source systems to analytics and AI workloads, replacing manual extracts with monitored pipelines. An initial assessment can identify data ownership gaps and dependencies that affect implementation scope.

• DataStage development: Build ingestion and transformation jobs, with validation rules and restart handling for failed loads.
• watsonx.data integration: Configure catalog connections and query access across supported data sources. Review workload behaviour and access controls before moving reporting or AI queries onto the platform.

Cloud Pak for Data engineers support installations on Red Hat OpenShift, including service configuration and incident investigation. They can review platform health and storage dependencies when workloads fail or service performance deteriorates.

For upgrades, specialists check compatibility across installed services and document prerequisite changes. They can rehearse upgrade steps and recovery procedures in a suitable non-production environment. Ongoing administration can cover access management and certificate renewal, while support engineers investigate failed jobs and coordinate application-level checks after platform changes.