GSI Environmental Inc., a privately held, employee-owned environmental consulting firm headquartered in Houston, is looking for an Artificial Intelligence (AI) Engineer to help shape how AI and automation support the way the firm works. This is a rare chance to build a function from the ground up, bringing modern AI into everyday workflows to solve complex environmental problems. As AI Engineer, you’ll design and deploy AI-powered applications, assistants, and workflows; develop custom internal software and portals; evaluate new AI platforms and large language models and prototype high-value use cases; build dashboards and business intelligence tools for leadership and project teams; integrate systems through APIs, databases, and cloud services; create automated workflows that reduce manual effort; train colleagues to use AI tools responsibly; and help establish AI governance standards that protect confidential client, litigation, and government data. The role is preferably based at or near a GSI office, with Houston as the ideal location.
About GSI Environmental — Employee-Owned Environmental Expertise
Company: GSI Environmental Inc., privately held and employee-owned
Headquarters: Houston, Texas
Offices: 13 offices across nine states, plus remote staff nationwide
History: Over 40 years of technically advanced environmental projects
Focus Areas: Water resources, air quality, land restoration, renewable energy, data science, toxicology, and critical minerals
AI Engineer Role — Applications, Automation & Data Solutions
Department: Technology & Innovation
Primary Focus: AI applications, dashboards, automation, and AI governance
Scope: Technical project teams and corporate departments across GSI
Mission: Using AI to simplify workflows and support environmental solutions
AI Engineer Position Overview
The AI Engineer role at GSI Environmental is a hands-on position at the intersection of artificial intelligence, automation, and the firm’s everyday operations. You’ll design and deliver AI-powered applications, automations, dashboards, and data-driven tools that help people across the organization work more productively. The work begins with listening. You’ll partner with technical project teams and corporate departments to find where emerging technology can simplify a workflow, sharpen a decision, or remove a repetitive manual task. From there, you’ll build. That might mean an AI assistant that helps staff search and summarize technical knowledge, a document automation tool that cuts hours of routine work, a custom internal portal, or a business intelligence dashboard that gives leadership a clearer picture of project performance. Integration is a big part of the job, as you’ll connect business and technical systems through APIs, databases, and cloud services, and support data management and reporting across scientific, financial, and regulatory information. You’ll also keep an eye on the fast-moving landscape of large language models and automation platforms, prototyping promising ideas quickly and separating what works from what doesn’t. Training matters just as much as building. You’ll help colleagues adopt new AI tools with confidence and champion a culture of practical, responsible use. Because GSI handles confidential client, litigation, and government project data, governance is central. You’ll help develop standards for secure, ethical, and responsible AI use, and work with IT and leadership to shape a long-term technology and innovation roadmap. Helping solve environmental problems through better technology is the purpose that sits behind it all.
As AI Engineer, you’ll build depth in generative AI, retrieval-augmented generation, AI agents, and the practical engineering that makes these tools dependable in a professional setting, while growing your ability to explain technical ideas to people outside engineering. The ideal candidate holds a bachelor’s degree in computer science, software engineering, data science, information systems, or a related field, and brings hands-on experience with generative AI, LLMs, AI agents, or machine learning. Strong programming skills in Python, SQL, JavaScript, C#, or similar languages are expected, along with experience building dashboards in Power BI, Tableau, or comparable tools and integrating systems through APIs and cloud technology. Familiarity with data architecture, security, and governance is important, and experience with Microsoft Power Platform, which GSI uses within its Microsoft 365 environment, is a strong advantage. Experience building RAG applications, document automation, or AI assistants for knowledge work would be especially valuable, as would a genuine interest in environmental work. For AI engineers in Houston who want to apply their skills to meaningful problems, this role offers a rare blend of innovation, impact, and an employee-owned culture.
Why This Role Matters: As AI Engineer at GSI Environmental, you help shape how a respected environmental firm uses artificial intelligence, build AI assistants and automations that save real hours for colleagues, create the dashboards that guide leadership decisions, set the governance standards that keep sensitive data safe, work in an employee-owned culture that values growth, and advance a career in applied AI in Houston.
Key Responsibilities & AI Duties
AI & Application Development
- Design and deploy AI-powered applications and assistants
- Build AI workflows that solve business and environmental problems
- Develop custom internal software and portals
- Improve operational efficiency through practical tools
- Evaluate new AI platforms and large language models
- Rapidly prototype high-value AI use cases
Data, Analytics & Dashboards
- Build dashboards and business intelligence tools
- Deliver actionable insight to leadership and project teams
- Support reporting and analytics initiatives
- Work with scientific, financial, and regulatory data
- Maintain data quality across reporting systems
- Turn complex datasets into clear decision support
Systems Integration & Cloud
- Integrate business and technical systems through APIs
- Connect databases and cloud services
- Support Microsoft 365 and Power Platform environments
- Maintain reliable data flows between tools
- Document integrations for long-term maintenance
- Troubleshoot system connections as needs evolve
Automation & Workflow Efficiency
- Create automated workflows that reduce manual effort
- Streamline business processes through automation
- Identify repetitive tasks suitable for automation
- Build document automation and knowledge tools
- Measure time saved through automation initiatives
- Refine workflows based on user feedback
Training & Adoption
- Train employees to adopt new AI tools
- Champion a culture of practical, responsible AI use
- Create guides and examples for colleagues
- Support staff questions about AI applications
- Share best practices across departments
- Gather feedback to improve adoption
Governance & Technology Strategy
- Develop AI governance standards and best practices
- Protect confidential client, litigation, and government data
- Ensure secure and ethical use of emerging technologies
- Partner with IT and leadership on technology strategy
- Help build a long-term innovation roadmap
- Keep technology use compliant with firm policies
Qualifications & Requirements
Education
- Bachelor’s degree in Computer Science or Software Engineering
- Bachelor’s degree in Data Science or Information Systems
- Bachelor’s degree in a related technical field
AI & Software Experience
- Hands-on experience with generative AI, LLMs, or AI agents
- Experience with machine learning technologies
- Ability to develop software applications and automation tools
- Experience building AI-enabled technologies
Programming & Analytics
- Strong programming skills in Python, SQL, JavaScript, or C#
- Experience building dashboards with Power BI, Tableau, or similar
- Experience integrating systems through APIs, databases, and cloud
- Strong grasp of data architecture, security, and governance
Advantageous Experience
- Microsoft Power Platform experience (Power Apps, Power Automate, Power BI)
- Experience building LLM or RAG applications
- Experience with document automation or AI assistants for knowledge work
- A strong interest in environmental issues
Professional Skills
- Ability to translate complex business problems into technology solutions
- Excellent communication with non-technical audiences
- Passion for continuous learning in AI
- Collaborative approach across technical and corporate teams
Career Development & Growth Opportunities
Professional Advancement
- Opportunity to build an AI function from the ground up
- Pathway toward Lead AI Engineer or Director of Innovation roles
- Influence on firm-wide technology and innovation strategy
- Growth within a nationally recognized environmental firm
Learning & Development
- Hands-on work with emerging AI and LLM technologies
- Professional development support within an employee-owned company
- Experience in governance and responsible AI practice
- Exposure to environmental science and engineering projects
Company Benefits & Culture
- Superior compensation and benefits as an employee-owned firm
- Professional development and growth-oriented workplace
- Collaborative, fun, and supportive team culture
- Strong staff retention and client satisfaction focus
About GSI Environmental — Solving Environmental Challenges
GSI Environmental is a privately held, employee-owned firm known nationally and internationally for high-quality environmental services. Headquartered in Houston, Texas, GSI operates offices across nine states and supports clients on projects spanning water resources, air quality, land restoration, sustainability, renewable energy, ecological services, data science, toxicology, and energy and critical minerals production. Its cross-disciplinary teams of engineers and scientists bring innovative solutions to some of the toughest environmental challenges.
Career Excellence in AI for Environmental Work: Join an employee-owned environmental leader in Houston, build AI tools that streamline real projects, deliver dashboards that guide decisions, automate routine work across the firm, set responsible AI standards for sensitive data, and grow a career in applied artificial intelligence.
Who Should Apply?
- Software Engineers: Ready to build AI-powered tools
- Data Scientists: Interested in applied AI and analytics
- Machine Learning Engineers: Seeking an innovation-focused role
- Power Platform Developers: Moving into AI solutions
- BI and Dashboard Developers: Ready for automation and AI work
- Environmental Technologists: Interested in technology careers
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