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Applied AI Specialist

Job in Davis, Yolo County, California, 95617, USA
Listing for: West Yost
Full Time position
Listed on 2026-05-02
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 85230 - 120150 USD Yearly USD 85230.00 120150.00 YEAR
Job Description & How to Apply Below
Position: Applied AI Specialist I

Applied AI Specialist

Compensation Range: $85,230 - $120,150. Based on our Davis, CA office location. West Yost uses geographic salary differentials that would apply for candidates in other regions.

Status:
Full-time, Exempt

Location:

Preferred location is Davis, CA. Must sit in one of our office locations. Can not sit remotely and relocation assistance is not available for this role.

This is a Hybrid role with 3 days in the office and 2 days remote.

Key Responsibilities
Pilot Development and Proof of Concept Execution
  • Design and execute pilots and proofs of concept that demonstrate clear value.
  • Develop, test, and refine tools, models, and workflows using approved platforms and data sources.
  • Document results and provide recommendations for scaling or pivoting.
Solution Development and Deployment
  • Build, configure, and deploy AI powered solutions that improve workflow efficiency, information management, decision support, and communication.
  • Collaborate with subject matter experts to ensure solutions align with real project needs.
  • Integrate responsible AI practices including accuracy, transparency, safety, and appropriate data governance.
Internal Enablement and Training
  • Develop and deliver training, guidance, and hands‑on support for technical staff and project teams using AI enabled tools.
  • Support adoption by helping teams understand how and when to use solutions effectively.
  • Communicate AI concepts in clear and appropriate language for nontechnical users.
Client Facing Support and Technical Credibility
  • Support proposals and pursuits by explaining AI capabilities, feasibility, and best fit applications.
  • Participate in demonstrations related to AI-enabled services.
  • Train client staff when AI supported solutions are deployed externally.
Feasibility Assessment and Continuous Improvement
  • Provide honest and informed feedback on what is technically feasible and ready for deployment.
  • Monitor solution performance and identify opportunities for refinement or expansion.
  • Create reusable tools, templates, and best practices to support firmwide AI maturity.
Collaboration and Integration
  • Partner with project managers, engineers, scientists, and business sector leaders to ensure solutions are practical and scalable.
  • Work closely with IT, cybersecurity, and data governance leaders to support safe and compliant deployment.
  • Strengthen cross‑sector awareness and recognize opportunities that benefit multiple parts of the business.
Qualifications
Experience
  • One to three years of experience in applied AI development, data science, machine learning, software engineering, or a related discipline.
  • Experience building prototypes and production‑ready AI solutions using modern LLMs, embeddings, retrieval augmented generation, or model fine tuning.
  • Familiarity with deploying and supporting shared AI tools in secure environments.
  • Experience in the water industry is not required but curiosity and willingness to learn our industry are essential.
Technical Expertise
  • Strong understanding of AI model behavior, prompt design, evaluation methods, and solution refinement.
  • Experience integrating AI tools into existing workflows, applications, or business processes.
  • Ability to communicate technical concepts in clear and appropriate language for nontechnical users.
  • Commitment to responsible AI practices, including accuracy, transparency, and appropriate data use.
Business Acumen and Leadership
  • Self‑starter with an entrepreneurial mindset who proactively identifies opportunities, experiments thoughtfully, and moves ideas forward with limited direction.
  • Creative thinker who enjoys rapid learning, experimentation, and iteration.
  • Collaborative partner who builds trust across sectors and project teams.
  • Comfort working in a fast‑changing field with evolving technologies and incomplete information.
Educational Background
  • Applicable education or training in computer science, data science, software development, AI, or a related technical field. This may include trade school, technical certification programs, bootcamps, or equivalent hands‑on experience.
  • Bachelor’s degree or advanced degree is welcomed but not required.
Travel Requirements

This position may require travel to other offices…

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