AI Integration Engineer

Role overview Build the integration and data foundations that connect AI services with enterprise and public-sector systems. The role focuses on dependable deployments across varied organizations, including systems with legacy data and live operational requirements.

Responsibilities - Connect AI services to enterprise resource planning systems, registries, and business databases while protecting ongoing operations. - Design and maintain data pipelines that prepare model inputs. - Clean and reconcile records from legacy systems. - Instrument deployments to track model accuracy, response time, and operating cost from launch. - Document the system and train client IT teams to operate it after handover.

Requirements - Prior experience integrating AI services with enterprise systems such as ERPs, databases, APIs, or government platforms. - Ability to build and maintain data pipelines across varied source systems. - Experience handling data quality work, including cleaning and reconciliation of legacy records. - Familiarity with measuring deployed systems for accuracy, latency, and cost. - Ability to produce operational documentation and train client technical teams.