AI Engagement Specialist Shasta Community Health Center - 3.7 Redding, CA Job Details Full-time $105,000 - $135,000 a year 7 hours ago Benefits Paid jury duty 403(b) matching AD&D insurance Paid holidays Disability insurance Health insurance Dental insurance Flexible spending account Tuition reimbursement Employee assistance program Vision insurance Employee discount 403(b) Bereavement leave Life insurance Qualifications Policy analysis Stakeholder relationship building

Full Job Description Base Pay:

$ 105,000 - $135,000 / hour

JOB SUMMARY

The AI Engagement Specialist serves as Shasta Community Health Center's organizational specialist for the practical, responsible, secure, and effective use of artificial intelligence. Reporting to the Chief Information Officer, the AI Engagement Specialist establishes clear standards, reviews AI vendors and proposed uses, coordinates implementation, and helps staff use approved tools safely and effectively. This is an individual-contributor role with no direct reports. Success requires sound judgment, strong follow-through, and the ability to communicate effectively with people at all professional levels and with a wide variety of personalities, perspectives, and technical experience. Denotes essential job functions

JOB DUTIES AND RESPONSIBILITIES AI

Governance and Responsible Use

• Develops and maintains practical policies, standards, and approval processes for the responsible use of AI at SCHC.
• Maintains an inventory of approved AI tools and use cases, including accountable owners, risk levels, safeguards, and review dates.
• Supports identification and reduction of unauthorized or inappropriate AI use, seeks to understand the need behind the use, and provides practical approved alternatives whenever possible.
• Partners with appropriate managers and staff to determine when patient notice, disclosure, consent, or other safeguards are required or appropriate for AI-enabled activities, including under applicable California recording and privacy laws.

Supports standard patient-facing consent or disclosure materials and a clear process for honoring and managing non-consent or opt-out decisions when applicable. Coordinates input from the appropriate clinical, operational, privacy, security, compliance, legal, and technology experts based on the use under review. Monitors relevant healthcare AI requirements and guidance and recommends needed policy or practice changes. Vendor and Use-Case Review

• Reviews proposed AI tools, embedded vendor features, pilots, and use cases before implementation.
• Evaluates privacy, security, clinical safety, equity, workflow, integration, contract, data-use, and financial considerations in partnership with the appropriate subject-matter experts.

Clarifies the organizational need, intended uses, and workflow impact while drawing on vendors and internal subject-matter experts for specialized technical analysis. Document findings, required safeguards, approval conditions, responsible owners, and recommendations for the Chief Information Officer. Implementation and Ongoing Oversight

• Partners with clinical, operational, and technical staff to plan and carry out approved AI implementations.
• Monitors adoption, performance, benefits, concerns, and unintended consequences and recommend changes, expansion, suspension, or retirement.

Defines pilot scope, workflow, testing, success measures, user support, contingency procedures, and post-launch review. Supports response to AI-related safety, privacy, security, quality, or compliance concerns and escalates significant issues promptly to the Chief Information Officer. Practical and Responsible AI Training

• Creates and delivers hands-on, job-relevant training that shows staff how to use approved AI tools safely, responsibly, and effectively in their daily work.
• Uses demonstrations, realistic work scenarios, guided practice, office hours, coaching, and concise job aids rather than relying only on general or theoretical instruction.
• Teaches users to protect sensitive information, prompt appropriately, recognize limitations and bias, verify outputs, preserve human judgment, document use when required, and report unsafe or inaccurate results. Maintains approved-tool guidance, examples, checklists, FAQs, and other practical resources. Communication and Change Support
• Builds trust and productive working relationships across clinical, administrative, technical, executive, and frontline teams.
• Adapts language, tone, level of detail, and approach for different personalities, professional levels, communication styles, and levels of AI knowledge. Explains complex topics clearly, listens to concerns, facilitates decisions, and helps teams adopt changes without losing sight of patient care, workflow, or accountability. Program Administration
• Provides the Chief Information Officer and appropriate managers with concise updates on AI projects, risks, adoption, outcomes, incidents, and value.

Maintains governance records, review documentation, implementation decisions, training materials, and program measures. Coordinates consultants, vendors, budgets, and assigned resources as needed. Performs other related duties and projects requested by the Chief Information Officer.

KNOWLEDGE, SKILLS, AND ABILITIES

Working knowledge of generative AI, large language models, machine-learning-enabled technology, and AI-enabled enterprise applications, including their practical capabilities, limitations, and risks. Working knowledge of healthcare privacy and security, clinical quality and patient safety, data governance, vendor risk, and change management. Ability to translate technical, clinical, legal, ethical, and operational issues into clear, practical guidance. Strong written and verbal communication, listening, facilitation, conflict-navigation, coaching, and presentation skills. Ability to organize complex work, manage multiple priorities, document decisions, meet deadlines, and follow through. Ability to evaluate evidence, question unsupported claims, and make balanced recommendations based on risk, mission fit, and measurable value.

EDUCATION & EXPERIENCE

Bachelor's degree in healthcare administration, public health, business, organizational leadership, health informatics, compliance, information systems, or a related field; equivalent education and directly relevant experience may be considered. Five or more years of progressively responsible experience in healthcare operations, organizational change, digital health, clinical informatics, compliance, privacy, enterprise technology, quality improvement, or a related area. Experience leading cross-functional initiatives in a regulated environment. Demonstrated experience evaluating, implementing, governing, or supporting generative AI, machine-learning-enabled technology, or AI-enabled enterprise applications. Experience developing or applying governance, risk, vendor review, implementation, training, or assurance processes for complex technology.

PREFERRED QUALIFICATIONS

Experience in an FQHC, community health center, safety-net provider, or other mission-driven healthcare setting. Previous experience working in an outpatient clinic or doctor's office.

BENEFITS

Competitive Wages Medical Insurance Dental Insurance Vision Insurance 403 (b) Retirement Plan with matching employer contribution Long-term Disability coverage Accidental Death and Dismemberment Life Insurance Flexible Spending Account Paid Vacation Paid Holidays CME with stipend, for those eligible Employee Assistance Program Jury Duty Pay Bereavement Pay Health Club Membership Discounts Prescription Discount Program 529 College Savings Plan Educational Reimbursement Free Teledoc service for benefit eligible employees Shasta Community Health Center is an Equal Opportunity Employer