Bachelor's degree in Engineering, Computer Science, IT, or equivalent experience
10+ years in AEC environment focusing on CAD, BIM, or engineering roles
Experience developing automation solutions with Python and using APIs
Hands-on experience with AI technologies like ChatGPT or Microsoft Copilot
Experience building and deploying AI-enabled solutions such as RAG pipelines
Strong stakeholder management and consultative skills
Project leadership capabilities from concept to implementation
Responsibilities
Identify efficiency opportunities and design AI-enabled solutions with production teams
Lead projects from discovery to implementation, defining success metrics
Build and maintain AI solutions including LLM applications and workflow automation
Integrate various business systems through APIs to improve operational efficiency
Develop automation tools for engineering quality and compliance support
Document solutions and mentor staff on AI adoption best practices
Provide technical leadership for AI and engineering innovation initiatives
Benefits
Generous PTO and paid holiday program
Professional development and technical training opportunities
Comprehensive medical, dental, and vision coverage
Employee ownership and retirement benefits
Leadership growth opportunities and continued learning support
Full Job Description
Digital Innovation Engineer
As our Digital Innovation Engineer for our IT Team in Tucson, you'll help transform how Psomas teams work by identifying opportunities to apply AI, automation, and digital solutions that improve efficiency, quality, and consistency across the organization. In this highly collaborative role, you'll work directly with production teams to understand real-world challenges, develop practical AI-enabled tools, and drive adoption of innovative solutions that create measurable business value. What You'll Do
As our Digital Innovation Engineer, you will partner with teams across the organization to identify opportunities, build AI-powered solutions, and drive adoption of tools that improve how work gets done.
AI Consulting & Solution Development Partner with production teams to identify efficiency opportunities, evaluate business challenges, and design practical AI-enabled solutions that address real operational needs.
Discovery, Piloting & Adoption Lead projects from discovery through implementation by defining success metrics, running pilots, measuring outcomes, and helping teams successfully adopt new tools and workflows.
AI Tool Development & Automation Build, deploy, and maintain production-ready AI solutions including LLM-based applications, RAG pipelines, autonomous agents, and workflow automations that support engineering and business operations.
Systems Integration & Data Enablement Integrate platforms such as Egnyte, Unanet, Microsoft 365, Autodesk Construction Cloud, and other business systems through APIs to unlock data and improve operational efficiency.
Engineering QA/QC & Workflow Innovation Develop automation tools that support engineering quality, consistency, and compliance by embedding calculations, standards, review processes, and engineering judgment into repeatable workflows.
Knowledge Sharing & Process Standardization Document solutions, develop reusable tools and playbooks, mentor staff on AI adoption, and help establish best practices that scale successful innovations across the organization.
Technical Leadership Provide technical leadership for AI and engineering innovation initiatives while helping establish development standards, mentoring team members, and guiding strategic technology decisions.
Required Qualifications
Bachelor's degree in Engineering, Computer Science, Information Technology, or a related field, or equivalent combination of education and experience
10+ years of experience in an AEC environment in a CAD, BIM, design technology, engineering, or technical delivery role
Demonstrated experience developing automation solutions using Python and working with APIs, SDKs, or system integrations
Hands-on experience with AI technologies including ChatGPT, Claude, Microsoft Copilot, or comparable large language model platforms
Experience building and deploying AI-enabled solutions such as RAG pipelines, autonomous agents, MCP integrations, or related technologies
Strong consultative, facilitation, and stakeholder management skills with the ability to translate business needs into practical solutions
Experience leading projects from concept through implementation with strong planning, communication, and delivery skills
Ability to mentor users, drive adoption, and create solutions that achieve measurable business impact
Professional Engineering (PE) license or significant engineering production experience is a plus
Compensation & Benefits
Compensation: Competitive salary based on experience and qualifications
Time Off: Generous PTO and paid holiday program
Career Development: Professional development, technical training, leadership growth opportunities, and continued learning support
Total Rewards: Comprehensive medical, dental, and vision coverage for employees and qualifying family members, along with employee ownership and retirement benefits
Our Hiring Approach
Our recruiting team reviews every application personally and will keep candidates informed throughout the process. If a candidate's background aligns with what we need, we'll reach out to discuss next steps.
