POSITION SUMMARY

The AI Solutions Engineer serves as Trécé's internal AI capability leader, responsible for identifying, implementing, and continuously improving AI-powered solutions across all departments. This role bridges the gap between rapidly evolving AI technology and Trécé's specific operational needs — spanning flow chemistry plant automation, laboratory research, regulatory compliance, field application tools, and business administration. The position requires a technically grounded individual who can translate complex AI capabilities into practical value for chemists, engineers, biologists, and administrative staff alike.

POSITION RESPONSIBILITIES AI

Strategy & Implementation Conduct systematic assessments of current business processes across all departments to identify high-value opportunities for AI, ML, and LLM integration. Design, test, configure, and deploy

AI/ML/LLM

solutions tailored to Trécé's technical and operational contexts, including laboratory workflows, manufacturing plant monitoring, field applications, and administrative functions. Document and compare current ('as-is') and AI-enhanced ('to-be') processes, including changes to data pipelines, systems, and user roles. Evaluate and recommend consolidated AI platform solutions (e.g., enterprise LLM management platforms) to provide centralized access, cost control, and security oversight across multiple AI tools. Establish and enforce guardrails, prompt standards, and validation practices to minimize hallucinations and ensure reliability of AI outputs. Plant Automation & Engineering Support Collaborate with engineering and chemistry teams to develop AI-driven monitoring and process control systems. Support the design and implementation of agentic automation pipelines to connect plant sensors, data storage, and decision-support systems. Assist in developing predictive maintenance tools that analyze historical operational data to flag equipment wear patterns and preempt failures. Research & Laboratory Applications Assist researchers in applying AI for data analysis, literature synthesis, report writing, simulation development and experimental design acceleration while maintaining scientific accuracy standards. Build or customize domain-specific AI tools or GPT extensions tuned to Trécé's specialized scientific disciplines. Field & Commercial Tool Development Lead AI-assisted development and improvement of field application tools, ensuring field tools are accurate, mobile-friendly, data-persistent, and capable of scaling to serve distributor and dealer networks worldwide. Training, Adoption & Governance Create training materials and conduct hands-on sessions to build AI proficiency across all departments, with content appropriate to each team's technical background and use cases. Track AI tool usage, adoption metrics, and ROI indicators; gather user feedback to drive iterative improvements. Maintain company-wide AI usage policies, cost controls, and access governance. Serve as the internal point of contact for AI vendor relationships and security reviews. Continuous Learning & Technology Scouting Actively monitor AI developments across relevant platforms (LLMs, agentic tools, no-code automation, scientific AI) and proactively brief teams on applicable advances. Evaluate emerging AI platforms and frameworks before broad deployment, including proof-of-concept testing and comparative analysis. General IT Support (Backup) Provide backup IT administrator support as needed, including desktop/workstation troubleshooting, RDS/VPN maintenance, printer setup, and software support for ERP and related systems.

NOTE:

This is a long-term position expected to evolve with the company's growth, AI and automation landscape. Responsibilities can shift as capabilities mature and new applications emerge.

QUALIFICATIONS & REQUIREMENTS

Education Bachelor's degree required in Computer Science, Software Engineering, Mechanical Engineering, Chemical Engineering, or a related STEM discipline. Master's degree a plus. A broad STEM foundation is strongly preferred over highly specialized single-discipline training — the role requires cross-functional communication with organic chemists, chemical ecologists, engineers, and business staff. Technical Skills Demonstrated hands-on proficiency with major LLM platforms (Claude, ChatGPT/GPT-4, Gemini) and a clear understanding of their respective strengths, limitations, and appropriate use cases. Experience with no-code/low-code automation platforms such as Zapier, Make, or equivalent agentic workflow tools. Proficiency in Python; familiarity with MATLAB, R, or similar scientific computing languages is a plus. Experience with or strong aptitude for building custom GPTs, AI agents, or domain-specific LLM extensions. Knowledge of prompt engineering best practices, including techniques for reducing hallucinations and improving output reliability (e.g., chain-of-thought prompting, confidence rating, assumption declaration). Professional Competencies Fast, self-directed learner who can rapidly evaluate new tools and technologies as the AI landscape evolves Strong analytical and problem-solving skills; able to assess ROI, identify automation opportunities, and prioritize high-impact projects. Excellent cross-functional communicator Highly organized with the ability to manage concurrent projects across multiple departments Intellectually honest about AI limitations; applies appropriate skepticism and validation discipline when evaluating AI-generated outputs.

KEY MEASUREMENTS / ACCOUNTABILITY

Timely and successful delivery of AI implementation projects measured against defined business and technical requirements. Measurable, documented improvements in operational productivity, time savings, or cost reduction resulting from deployed AI solutions. Quality and adoption rate of AI training programs across departments. Reliability and accuracy of deployed AI tools, including hallucination reduction metrics and user satisfaction.

JOB INTERFACE

This position serves as a technical bridge across the entire organization. It requires close, ongoing collaboration with the Principal Engineer, laboratory directors, plant operations, regulatory/ compliance staff, and finance/administration. Regular interaction with external AI vendors, platform providers, and security consultants is expected. TRAVEL Minimal under normal circumstances

Pay:

From $75,000.00 per year

Benefits:

401(k) 401(k) matching Dental insurance Employee assistance program Health insurance Life insurance Paid time off Retirement plan Vision insurance Application Question(s): Will you now or in the future require sponsorship for employment authorization? What AI platforms have you used? List all that apply. Do you have experience using Python? Have you implemented AI-powered tools, workflows, or automations? Have you completed academic, personal, or professional projects involving AI, custom GPTs, AI agents, or workflow automation? Briefly describe an AI project you've built or contributed to. This can be academically or professionally. Do you have hands-on experience with LLM platforms such as ChatGPT, Claude, or Gemini? Have you used no-code/low-code automation platforms such as Zapier or Make?

Education:

Bachelor's (Required)

Experience:

AI tools (professionally or academically): 2 years (Required) Manufacturing and/or

Laboratory Environments:

3 years (Preferred) Ability to

Relocate:

Adair, OK 74330: Relocate before starting work (Required)

Work Location:

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