AI Automation & Workflow Engineer
Location: Hybrid – Occasional in-office collaboration
Employment Type: Full-Time
Pay Range: $76,000–$85,000 annually
About Pacific Health Group
At Pacific Health Group, we are at the forefront of revolutionizing healthcare. You will play a vital role in this mission. We are dedicated to improving health outcomes by addressing social determinants of health and coordinating comprehensive community-based services through innovative, community-centered healthcare programs.
As our organization continues to grow, we are investing in artificial intelligence, intelligent automation, and integrated technology systems that improve how our teams operate, communicate, document services, manage members, and deliver care.
If you are passionate about applying artificial intelligence to solve real operational challenges and have the technical capabilities to build secure, scalable, and practical solutions, we invite you to join our team.
Overview
The AI Automation & Workflow Engineer will be responsible for designing, building, implementing, and maintaining artificial intelligence solutions, automated workflows, system integrations, and operational tools across Pacific Health Group.
This individual will work closely with executive leadership, department directors, managers, information technology, compliance, data administration, billing, member engagement, clinical operations, human resources, marketing, and other departments to identify inefficiencies and convert manual or fragmented processes into secure, scalable, and measurable workflows.
The ideal candidate combines AI engineering, workflow architecture, systems integration, business process analysis, and hands-on automation development. This position requires someone who can understand how a department operates, map its processes, recommend improvements, build the appropriate solution, test it, document it, and support adoption.
This role is not limited to configuring prompts or basic no-code automations. The AI Automation & Workflow Engineer must be capable of creating production-ready solutions using APIs, databases, webhooks, AI models, automation platforms, custom code, and enterprise applications.
Key Responsibilities
AI Strategy & Solution Development
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Evaluate organizational processes and identify opportunities where artificial intelligence can reduce administrative burden, improve accuracy, accelerate decision-making, or strengthen service delivery.
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Design and build AI-powered assistants, agents, copilots, knowledge systems, document-processing tools, and decision-support applications.
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Develop secure generative AI solutions using platforms and models such as OpenAI, Anthropic Claude, Google Gemini, Microsoft Copilot, and other approved technologies.
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Create retrieval-augmented generation systems that allow authorized users to securely search policies, procedures, training materials, operational records, and organizational knowledge.
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Build AI solutions that summarize information, classify records, extract structured data, draft documentation, route work, identify exceptions, and recommend next actions.
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Evaluate AI tools, models, vendors, and emerging technologies for functionality, security, scalability, cost, and organizational fit.
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Develop standards for prompt engineering, model selection, AI testing, human review, error handling, and responsible AI usage.
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Maintain awareness of current developments in artificial intelligence and translate relevant innovations into practical organizational solutions.
Workflow Analysis & Process Improvement
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Meet with departmental stakeholders to understand existing workflows, pain points, operational requirements, dependencies, and performance expectations.
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Create detailed current-state and future-state workflow maps.
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Identify redundant steps, bottlenecks, manual handoffs, duplicate data entry, communication gaps, and preventable delays.
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Redesign workflows to improve efficiency, accountability, quality, visibility, and user experience.
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Translate business requirements into technical specifications, automation logic, user stories, acceptance criteria, and implementation plans.
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Establish clear workflow ownership, triggers, conditions, approvals, escalations, notifications, and completion standards.
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Ensure workflows support organizational policies, contractual requirements, regulatory obligations, and department-specific service standards.
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Measure time savings, error reduction, adoption, throughput, cost avoidance, and other outcomes generated by automation initiatives.
Automation Development
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Build end-to-end automations using platforms such as Make, Zapier, n8n, Microsoft Power Automate, Monday.com, Salesforce, Google Workspace, and other approved tools.
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Develop event-driven and scheduled automations using APIs, webhooks, triggers, conditional logic, data transformations, and system actions.
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Automate recurring administrative functions such as task creation, status updates, notifications, approvals, escalations, report generation, record routing, and data synchronization.
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Create workflows that coordinate activities across member engagement, outreach, care management, billing, compliance, human resources, marketing, information technology, and executive operations.
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Develop reliable error handling, retries, exception queues, alerts, fallback procedures, and human-review checkpoints.
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Monitor automation performance and proactively resolve failures, latency, duplicate actions, data conflicts, and system changes.
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Maintain separate development, testing, and production environments when appropriate.
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Design automations that can scale as Pacific Health Group expands its workforce, services, programs, and geographic footprint.
Systems Integration
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Design and maintain integrations between Pacific Health Group’s internal and third-party applications.
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Connect systems such as CRM platforms, project-management tools, electronic medical records, communication platforms, cloud applications, reporting tools, and internal databases.
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Develop integrations involving systems such as Salesforce, Monday.com, RingCentral, Google Workspace, Lovable, electronic medical record platforms, and approved healthcare technology vendors.
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Build and maintain RESTful API integrations, webhooks, authentication flows, data mappings, and synchronization processes.
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Work with structured and unstructured data using JSON, SQL, CSV, XML, and other applicable formats.
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Prevent duplicate records, incomplete transfers, inconsistent field values, and unauthorized data movement.
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Maintain integration documentation, API credentials, environment variables, service accounts, and dependency records in accordance with security standards.
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Coordinate with vendors and internal stakeholders when integrations require technical support, access changes, sandbox environments, or vendor development.
Internal Application Development
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Support the design and development of internal applications, portals, dashboards, operational tools, and AI-enabled systems.
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Build tools using approved low-code, no-code, and full-code development environments.
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Support application development using platforms such as Lovable, Supabase, React, TypeScript, Python, JavaScript, SQL, and related technologies.
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Create user-friendly interfaces that allow employees to interact with workflows, member records, assignments, reports, and AI capabilities.
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Develop role-based dashboards that provide employees and leaders with relevant tasks, alerts, metrics, and operational information.
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Work with technical and operational teams to define application requirements, permissions, data architecture, and deployment standards.
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Test new features before deployment and establish procedures for version control, rollback, change management, and release documentation.
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Support the long-term development of Pacific Health Group’s internal operating systems and healthcare technology infrastructure.
Healthcare Data Privacy, Security & Compliance
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Design AI systems and automations with privacy, security, and regulatory requirements incorporated from the beginning.
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Follow HIPAA, applicable state privacy laws, organizational security policies, and contractual requirements when working with protected health information and personally identifiable information.
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Ensure protected health information is only processed through systems and vendors approved for the intended use.
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Apply role-based access controls, least-privilege principles, secure authentication, audit logging, encryption, and data-minimization practices.
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Prevent unauthorized disclosure of member, employee, financial, clinical, and proprietary organizational information.
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Coordinate with compliance, information technology, and leadership before introducing new platforms that process confidential information.
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Conduct risk assessments for AI models, integrations, automations, and vendors.
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Maintain audit-ready documentation showing how systems operate, what data they access, who has access, and what actions they perform.
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Establish human review requirements for high-impact decisions and workflows affecting members, employees, billing, compliance, or clinical operations.
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Immediately escalate suspected data exposure, security incidents, system vulnerabilities, or unauthorized technology use.
Data, Reporting & Analytics
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Build automated dashboards, reports, scorecards, and operational monitoring tools.
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Integrate data from multiple systems to create reliable organizational reporting.
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Create automated reporting workflows for leadership, departments, quality assurance, compliance, and contractual requirements.
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Develop data-validation rules and processes that identify missing, duplicated, inconsistent, or inaccurate information.
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Collaborate with data administration and department leaders to define standardized data fields, naming conventions, source-of-truth systems, and reporting logic.
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Track workflow utilization, processing volumes, failure rates, completion times, and business outcomes.
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Present technical findings and automation results in a manner that can be understood by nontechnical stakeholders.
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Support forecasting, resource allocation, caseload management, productivity measurement, and operational decision-making.
Testing, Quality Assurance & Monitoring
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Develop test plans, test cases, validation procedures, and user acceptance testing requirements.
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Test automations under normal, high-volume, exception, and failure conditions.
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Verify that AI outputs are accurate, relevant, appropriately limited, and subject to human review when required.
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Monitor model hallucinations, workflow errors, integration failures, security risks, and unintended outcomes.
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Establish quality thresholds and acceptance standards before solutions are released into production.
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Maintain logs and monitoring dashboards for critical workflows.
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Conduct periodic reviews to ensure automations remain accurate after applications, APIs, policies, or departmental processes change.
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Develop rollback, manual-continuity, and business-continuity procedures for critical automations.
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Resolve technical issues and conduct root-cause analyses to prevent recurring failures.
Documentation, Training & Adoption
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Create clear technical documentation, workflow diagrams, standard operating procedures, user instructions, and troubleshooting guides.
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Maintain an organized inventory of AI tools, integrations, automations, prompts, agents, applications, owners, dependencies, and access requirements.
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Train employees, managers, and department leaders on new systems and workflows.
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Provide role-specific training that explains both how to use a tool and when it should or should not be used.
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Develop governance standards for organizational AI use, including approved platforms, prohibited practices, data-handling expectations, and human-review requirements.
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Gather user feedback and continuously improve workflows following implementation.
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Support change-management activities that increase employee understanding, adoption, and confidence.
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Provide technical support and guidance for implemented solutions.
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Promote responsible, secure, and effective use of AI throughout the organization.
Project Management & Cross-Functional Collaboration
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Manage multiple AI, automation, integration, and workflow initiatives simultaneously.
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Establish project objectives, scope, deliverables, milestones, dependencies, testing requirements, and success measures.
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Prioritize projects based on organizational value, operational risk, technical feasibility, urgency, and available resources.
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Provide leadership with regular status reports, risk updates, performance findings, and recommendations.
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Collaborate with internal teams and outside vendors to complete implementations.
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Facilitate workflow-discovery meetings, technical planning sessions, testing reviews, and post-implementation evaluations.
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Ensure projects are completed within established timelines and meet documented business requirements.
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Maintain project records and communicate delays, risks, scope changes, or resource constraints promptly.
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Support leadership in developing an organizational roadmap for AI adoption, automation, integration, and digital transformation.
Requirements
Required Qualifications
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Three or more years of professional experience in AI engineering, automation engineering, workflow development, systems integration, software development, business-process automation, or a closely related field.
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Demonstrated experience designing and deploying production-level automations involving multiple applications.
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Hands-on experience using automation platforms such as Make, Zapier, n8n, Microsoft Power Automate, or comparable technologies.
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Experience working with generative AI models and APIs, including OpenAI, Anthropic Claude, Google Gemini, Azure OpenAI, or comparable platforms.
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Proficiency with APIs, webhooks, authentication methods, data mappings, conditional logic, and system integrations.
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Working knowledge of Python, JavaScript, TypeScript, SQL, or another applicable programming language.
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Experience working with databases, structured data, JSON, and data-transformation processes.
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Ability to evaluate complex business processes and convert them into clear technical requirements and automated workflows.
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Experience developing error handling, monitoring, logging, testing, and technical documentation.
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Strong analytical, troubleshooting, project-management, and problem-solving abilities.
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Ability to communicate technical concepts clearly to nontechnical employees and leaders.
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Ability to independently manage projects while collaborating effectively across multiple departments.
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Strong judgment when working with confidential, sensitive, or regulated information.
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Ability to manage competing priorities and operate in a fast-growing organization.
Preferred Qualifications
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Bachelor’s degree in computer science, information systems, software engineering, artificial intelligence, data science, business technology, or a related discipline.
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Experience working in healthcare, health technology, managed care, care management, behavioral health, social services, or another regulated industry.
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Knowledge of HIPAA, healthcare privacy, cybersecurity, role-based permissions, and secure data-handling practices.
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Experience integrating CRM, project-management, communication, electronic medical record, HRIS, billing, and reporting systems.
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Experience with Salesforce, Monday.com, RingCentral, Google Workspace, Lovable, Supabase, Microsoft 365, or comparable platforms.
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Experience developing AI agents, retrieval-augmented generation systems, vector databases, embeddings, or enterprise knowledge assistants.
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Experience with cloud environments such as AWS, Microsoft Azure, Google Cloud Platform, or Supabase.
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Familiarity with Git, version control, continuous integration, testing frameworks, and deployment workflows.
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Experience building internal applications, employee portals, dashboards, or healthcare operations platforms.
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Relevant certifications in artificial intelligence, cloud computing, automation, software development, cybersecurity, Salesforce, Microsoft Power Platform, or project management.
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Experience leading digital-transformation or enterprise-automation initiatives.
Core Competencies
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AI solution architecture
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Workflow engineering
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Business-process analysis
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Systems integration
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API development
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Automation governance
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Data security and privacy
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Technical project management
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Quality assurance
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Root-cause analysis
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Documentation and training
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Change management
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Cross-functional collaboration
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Continuous improvement
Success Measures
Success in this role will be measured by:
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Reduction in manual administrative work and duplicate data entry.
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Improvement in workflow turnaround times and completion rates.
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Reduction in preventable errors, missed steps, and process delays.
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Reliability and uptime of production automations and integrations.
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Successful implementation of AI solutions that produce measurable operational value.
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Compliance with privacy, security, governance, and documentation requirements.
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Employee adoption and satisfaction with implemented tools.
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Accuracy and usefulness of automated reports and dashboards.
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Timely completion of projects within established scope and requirements.
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Documented cost savings, capacity improvements, and productivity gains.
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Ability to scale systems as the organization grows.
Benefits
Benefits
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160 Hours of Paid Time Off (PTO)
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12 Paid Holidays per year, including your birthday and one floating holiday after one year of employment
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Four Paid Volunteer Hours per Month to support causes you care about
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Bereavement Leave, including Fur Baby Bereavement
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90% Employer-paid Employee-Only Medical Benefits
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Flexible Spending Account (FSA)
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Short-Term and Long-Term Disability | AD&D
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Employee Assistance Program (EAP)
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401(k) with Company Match
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Monthly Stipend
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Opportunities for professional development and internal growth
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Employee Discounts through Great Work Perks and Perks at Work
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Quarterly In-Person Events
Schedule
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Monday through Friday
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Standard business hours
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Flexibility may be required for system deployments, urgent technical issues, testing, or planned implementation activities
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Occasional in-office meetings, training sessions, and organizational events
Working Environment
This position operates in a hybrid professional environment and requires frequent use of computers, cloud applications, communication platforms, development tools, and video-conferencing technology.
The employee must be able to collaborate with remote and in-office employees, manage confidential information appropriately, and maintain reliable internet connectivity when working remotely.
Equal Employment Opportunity
Pacific Health Group is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants. Employment decisions are made without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable federal, state, or local law.
Recruitment Process
No candidate will be offered employment without meeting the required qualifications and skillset for the position and successfully completing all steps of our recruitment process, which may include:
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Submission of a completed internal application through our HRIS system
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A formal pre-screen with our recruiting team
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Completion of a technical and skills assessment
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Participation in a technical interview or workflow-design exercise
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Participation in a final interview with hiring leadership
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Professional reference and background verification, as applicable
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Receipt of a formal verbal offer from our authorized hiring team
Candidates may be asked to demonstrate previous automation work, explain the architecture of a completed project, troubleshoot a sample workflow, or design a proposed solution based on a realistic business scenario.
AI & Human Interaction in Recruitment
Pacific Health Group is committed to fairness, equity, and transparency in our hiring practices. We use artificial intelligence tools to help match candidate resumes against our job descriptions, focusing on qualifications, skillsets, experience, and location.
Artificial intelligence may assist our recruitment team with organizing or reviewing application information; however, employment decisions are not made solely by artificial intelligence. Qualified members of our hiring team review candidates and make final employment decisions.
Application Requirements
Applicants should submit:
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A current resume
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A brief description of relevant AI, automation, integration, or workflow-development experience
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Examples of automation projects, technical portfolios, GitHub repositories, architectural diagrams, or related work products, when available
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A description of the automation platforms, programming languages, AI models, databases, and enterprise systems with which they have direct hands-on experience
Pacific Health Group reserves the right to modify the responsibilities and requirements of this position based on organizational needs, technology changes, regulatory requirements, and business priorities.
