If you're a Lead AI Engineer passionate about Generative AI, LLMs, and Industrial AI, this is an opportunity to build enterprise agentic AI systems that help some of the world's largest manufacturers turn engineering knowledge into actionable insights.
This is NOT a traditional software engineering position.
Success in this role requires someone who understands industrial processes, chemical/process engineering environments, industrial visualization, and process operations, while also bringing hands-on experience building production AI systems. If your background includes industries such as chemical manufacturing, oil & gas, pharmaceuticals, power generation, utilities, or other process industries, you'll be especially well positioned for this opportunity.
Our platform enables engineers to transform natural language requests into production-ready industrial dashboards, process visualizations, and operational insights using existing visualization components, documentation, engineering standards, and plant data.
As the technical owner for AI engineering, you'll establish the architecture, build intelligent agent workflows, and collaborate closely with Product, QA, Documentation, and Engineering teams to bring production-ready AI capabilities into an enterprise industrial software platform.
Please Note: We do not accept applications from third-party recruiters or staffing agencies. We are currently only able to hire candidates who reside in and are authorized to work in the United States due to legal, tax, and operational requirements.
Lead AI Engineer – Industrial AI & Generative AI Responsibilities
As the Lead AI Engineer, you will own the technical direction of our AI platform by:
- Designing and building production-ready agentic AI systems that create industrial visualization dashboards from user intent
- Developing intelligent agents capable of reasoning through complex engineering workflows
- Building knowledge retrieval pipelines using technical documentation, engineering specifications, and existing platform assets
- Creating reusable AI Skills and Tools that safely interact with enterprise software
- Integrating AI capabilities with existing industrial visualization software and backend services
- Working closely with QA to establish deterministic testing, validation, and monitoring of agent behavior
- Collaborating with documentation and subject matter experts to improve agent knowledge and decision making
- Designing secure, traceable, enterprise-grade AI systems with strong governance and privacy controls
- Defining long-term architecture standards and serving as the technical owner for AI initiatives
Required Experience – AI, LLMs, and Industrial Engineering
We're interested in candidates who have built production AI applications, not experimental prototypes.
Ideal candidates will have experience with:
Industrial & Engineering Domain Knowledge
- Chemical engineering, process engineering, manufacturing engineering, or industrial automation environments
- Industrial process visualization
- Process flow diagrams (PFDs)
- Piping & Instrumentation Diagrams (P&IDs)
- Industrial dashboards
- SCADA, historians, or industrial analytics platforms
- Process industries including:
- Chemical Manufacturing
- Oil & Gas
- Pharmaceuticals
- Power Generation
- Utilities
- Heavy Manufacturing
AI & Agentic Systems
- Building production agentic AI applications
- Multi-step AI reasoning and orchestration
- AI systems that interact directly with software applications
- Agent state management
- Execution loops
- AI Skills and Tool development
- Model orchestration using modern LLM platforms
- Retrieval-Augmented Generation (RAG)
- Vector databases and embeddings
- Document parsing and knowledge retrieval
Software & Platform Engineering
- 5+ years building production software
- Modern software architecture and system design
- API development and integration
- Testing, observability, reliability, and monitoring
- Enterprise application integration
- Performance optimization and maintainability
Enterprise AI
Experience building AI systems within enterprise environments where security and governance matter, including:
- Data privacy
- Controlled information flow
- AI guardrails
- Traceability
- Deterministic testing
- Enterprise reliability
Preferred Qualifications
Experience with one or more of the following is highly desirable:
- Industrial visualization platforms
- Process simulation software
- Manufacturing execution systems (MES)
- Industrial historians
- Digital twin technologies
- Industrial IoT platforms
- Engineering documentation systems
- Enterprise manufacturing software
What Makes Someone Successful
The ideal candidate is equally comfortable discussing:
- Process engineering workflows
- Industrial operations
- AI architecture
- Enterprise software design
- Cross-functional collaboration
- Long-term technical strategy
You enjoy solving difficult technical problems, thrive in emerging technology environments, and are excited to own the AI vision for a product used by some of the world's leading industrial organizations. This role is ideal for AI engineers working in manufacturing, process engineering, or industrial AI platforms.
PLEASE NOTE: We do not accept applications from third-party recruiters or staffing agencies. We are currently only able to hire candidates who reside in and are authorized to work in the United States due to legal, tax, and operational requirements.
Pay: From $200,000.00 per year
Application Question(s):
- Have you built production AI applications?
Work Location: Remote
