Remote Operations Engineer

As a Remote Operations Engineer you will be at the forefront of the Process Engineering as a Service (PEaaS, a revolutionary initiative bridging the gap between traditional manufacturing and AI-driven automation. You will provide human oversight and domain expertise to our AI agents, solving critical operational challenges like high turnover and staffing shortages in industrial environments. This is a unique opportunity to move from traditional on-site process engineering to a tech-forward, remote role where you will directly influence the scalability of AI in manufacturing.

A Day In Your Life

• Continuous Monitoring: Utilize AI-powered dashboards to monitor production performance, process conditions, and critical operating metrics for industrial manufacturing lines.
• Anomaly Management: Review AI-generated alarms and process deviations; surface and prioritize anomalies to ensure operational continuity.
• Real-time Coordination: Act as a critical liaison between Augury's AI insights and on-site personnel, guiding operational workflows and supporting operators with day-to-day decisions via Teams or VoIP.
• Documentation & Handoffs: Maintain meticulous operational logs and key event documentation, ensuring structured handoffs between night shifts and day-time on-site teams.
• Domain Expertise: Provide human-in-the-loop escalation support, applying your manufacturing background to troubleshoot complex industrial process issues.

What You Bring

• Educational Background: Bachelor’s degree in Process Engineering, Chemical Engineering, Manufacturing Operations, or a related technical field.
• Industry Experience: 4–8 years of experience operating, monitoring, troubleshooting, and optimizing industrial manufacturing processes.
• Technical Proficiency: Hands-on experience with industrial systems including DCS, SCADA, Historians (e.g., AVEVA), and Industrial Automation.
• Analytical Mindset: Proven ability to analyze complex data sets and draw professional conclusions to improve manufacturing efficiency and yield.
• Communication: Excellent verbal and electronic communication skills, with the ability to lead technical discussions and build credibility with on-site engineering teams.

Nice to Have

• Continuous Improvement: Experience with Six Sigma, Lean Manufacturing, or Process Optimization methodologies.
• Instrumentation & Controls: Familiarity with I&C systems and wireless OT connectivity protocols.
• AI/ML Interest: A passion for how AI agents can reduce routine monitoring loads and enhance human decision-making.