AI Agent Development Engineer

Apply AI-based anomaly detection, diagnostics, and decision-support solutions to real power-plant operational challenges.

Translate plant operating behavior, control logic, alarms, and historian trends into practical AI use cases and agent workflows.

Work with time-series operational data from DCS/SCADA and plant historians (preferably Emerson Ovation) to identify abnormal patterns, degradation, and performance losses.

Collaborate with sales and marketing,  and reliability teams to validate AI insights against real plant conditions.

Support development and tuning of AI/analytics models using Python and data tools (focus on application rather than algorithm research).

Integrate AI outputs into dashboards, alerts, and engineering workflows without impacting plant safety or control integrity.

Test, validate, and monitor AI solutions in live or near-real plant environments, ensuring reliability and low false-alarm rates.

Continuously improve AI performance using operational feedback, historical fault data, and domain knowledge.

• Troubleshoot deployed analytics/AI tools and coordinate improvements with software or data teams.