Remote Solutions Engineer — AI-Powered Manufacturing Integrations

Talnt; Chicago (IL); Remote; USD 120.000 - 180.000; Vollzeit

Zusammenfassung

Talnt is seeking a Solutions Engineer to design and implement software integrations connecting enterprise manufacturing systems to cloud-based applications. You will develop APIs, data pipelines, and automation workflows using Python and SQL, serving as the primary technical resource for customer deployments.

You will collaborate with engineering and data science teams, troubleshoot complex issues, and travel 25%–40% to customer sites as needed.

Qualifikationen

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical discipline.
• Minimum of 4 years of experience in a customer-facing technical role such as Solutions Engineer, Forward Deployed Engineer, Implementation Engineer, Integration Engineer, Technical Consultant, or similar.
• Strong programming experience using Python and SQL.
• Experience developing and consuming REST APIs and building software integrations.
• Familiarity with Bash, PowerShell, or other scripting languages.
• Experience working with cloud platforms, distributed systems, middleware, and enterprise software integrations.
• Strong analytical skills with experience working with large datasets and troubleshooting complex technical issues.
• Excellent customer communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders.
• Strong project management, organization, and problem-solving abilities.
• Comfortable working in a fast-paced startup environment with evolving priorities and ambiguous technical challenges.
• Willingness to travel approximately 25% to 40% to customer sites.
• Must be authorized to work in the United States without current or future employer sponsorship.

Aufgaben

• Design, develop, and implement software integrations connecting enterprise manufacturing systems to cloud-based applications.
• Develop APIs, integration services, data pipelines, and automation workflows using Python, SQL, REST APIs, and modern software development practices.
• Serve as the primary technical resource for customer implementations from solution design through deployment and ongoing technical support.
• Partner directly with manufacturing customers to understand production processes, data architecture, operational challenges, and integration requirements.
• Integrate enterprise manufacturing systems including ERP, MES, QMS, historians, SCADA, and other industrial software platforms.
• Build reusable integration tools and connector libraries that improve deployment speed and scalability.
• Collaborate with Data Science teams to configure AI and machine learning solutions that solve manufacturing challenges.
• Troubleshoot complex issues involving distributed systems, networking, APIs, cloud infrastructure, and production data pipelines.
• Analyze large manufacturing datasets to identify data quality issues, diagnose integration failures, and implement technical solutions.
• Work closely with Product and Engineering teams to provide customer feedback and influence future product capabilities.
• Develop technical documentation, implementation guides, and best practices that support scalable customer deployments.
• Participate in customer discovery sessions, technical workshops, and solution architecture discussions.
• Manage multiple implementation projects simultaneously while maintaining exceptional customer communication and project execution.
• Travel to customer manufacturing facilities as needed to support deployments, technical troubleshooting, and solution optimization.

Kenntnisse

Python

SQL

REST APIs

Cloud platforms

Distributed systems

Data pipelines

Troubleshooting

Customer communication

Ausbildung

Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related technical discipline

Tools

Bash

PowerShell

Jobbeschreibung

Talnt is seeking a Solutions Engineer to design and implement software integrations connecting enterprise manufacturing systems to cloud-based applications. You will develop APIs, data pipelines, and automation workflows using Python and SQL, serving as the primary technical resource for customer deployments.

You will collaborate with engineering and data science teams, troubleshoot complex issues, and travel 25%–40% to customer sites as needed.