Principal AI & Business Process Automation Engineer

Stored Energy Systems•Longmont, CO

2d•$120,000 - $176,000•Onsite

About The Position

The Principal AI & Business Process Automation Engineer identifies, designs, develops, implements, and supports technology-enabled improvements across the organization. Reporting to the CIO, this role partners with all business functions to identify opportunities, gain stakeholder alignment, and deliver solutions that reduce manual work and process complexity, improve efficiency and decision-making and support scalable growth through process improvement, AI and automation technologies. This hands-on role combines business analysis, process improvement, software engineering, and cross-functional collaboration. This position will evaluate emerging AI and process automation technologies, develop automation workflows, establish governance standards, and drive adoption of AI capabilities throughout the organization.

Requirements

Bachelor’s degree in Information Technology, Computer Science, Engineering, Business Information Systems, or a related field, or equivalent relevant experience.
7+ years of relevant experience in software development, business systems, process automation, systems integration, business process improvement, or related technical work.
Experience documenting, designing, developing, and implementing technical solutions that automate business processes or integrate business systems.
Practical experience applying AI and generative AI technologies to business or technical solutions.
Experience working with enterprise systems, APIs, workflow automation, cloud services, or related integration technologies.
Strong business analysis and problem-solving skills, including the ability to understand and document business problems, process maps, and workflows then translate them into practical solutions.
Strong communication and collaboration skills with the ability to work directly with business and technical stakeholders.

Nice To Haves

Experience developing AI agents, chatbots, AI-enabled knowledge systems, or other AI automation solutions.
Experience deploying or maintaining private or on-premises AI and LLM technologies.
Experience with SQL, Python, JavaScript, or other scripting or programming languages.
Experience working in a manufacturing environment or with manufacturing operations, sales and sales operations, accounting, finance, or other business functions.
Experience with Infor SyteLine or similar manufacturing ERP systems.
Experience with platforms such as HubSpot CRM, StarShip, Power BI/Fabric, SharePoint, or Power Automate.
Relevant AI, cloud, or automation certifications.

Responsibilities

Partner with internal clients across Operations, Engineering, Sales, Customer Service, Finance, HR, and other functions to understand business processes, identify operational challenges, define requirements, and translate business needs into actionable technical solutions.
Deliver assigned business process automation and innovation projects end to end, including discovery, requirements definition, solution design, stakeholder alignment, development, testing, implementation, documentation, support, and continuous improvement.
Proactively identify bottlenecks, manual processes, excessive handoffs, repetitive work, and other process constraints that limit efficiency or scalability, and develop solutions that measurably improve process performance.
Establish, deploy, maintain, and improve secure enterprise AI and Large Language Model (LLM) capabilities, including private and on-premises solutions, to protect company data, intellectual property, and customer information.
Design and develop AI-enabled solutions, including agents, knowledge systems, intelligent workflows, and enterprise integrations that leverage internal data while maintaining appropriate security and access controls.
Evaluate emerging AI, automation, integration, and related technologies; recommend appropriate tools, standards, and architectural changes; and support implemented solutions through troubleshooting, maintenance, and ongoing enhancement.