AI Solutions Engineer
$89.14k - $133.71kInland Imaging
Base Pay Range:
$89,137.79 - $133,706.68 Job Description:
The AI Solutions Engineer is a Full Time, Regular position working Monday-Friday day shift hours hybrid at the Inland Imaging Business Center downtown Spokane. Summary: The AI Solutions Engineer will be responsible for the design, building development and deployment of GenAI-powered tools and agents across our business operations. Working closely alongside our Senior AI Solutions Engineer, this role will contribute hands-on coding, AI integration, and workflow automation efforts-helping the organization streamline internal processes and boost productivity and quality. General Description: The AI Solutions Engineer must be able to work effectively and efficiently in a fast-paced office environment in meeting continual deadlines. The AI Solutions Engineer must be able to handle multiple priorities with constant interruptions. Organization is essential in order to meet deadlines. A sense of urgency, the ability to make good decisions, and the prioritization of tasks is necessary.
Essential Duties / Responsibilities: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
$89,137.79 - $133,706.68 Job Description:
The AI Solutions Engineer is a Full Time, Regular position working Monday-Friday day shift hours hybrid at the Inland Imaging Business Center downtown Spokane. Summary: The AI Solutions Engineer will be responsible for the design, building development and deployment of GenAI-powered tools and agents across our business operations. Working closely alongside our Senior AI Solutions Engineer, this role will contribute hands-on coding, AI integration, and workflow automation efforts-helping the organization streamline internal processes and boost productivity and quality. General Description: The AI Solutions Engineer must be able to work effectively and efficiently in a fast-paced office environment in meeting continual deadlines. The AI Solutions Engineer must be able to handle multiple priorities with constant interruptions. Organization is essential in order to meet deadlines. A sense of urgency, the ability to make good decisions, and the prioritization of tasks is necessary.
Essential Duties / Responsibilities: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
- Builds and delivers AI agents and automation workflows tailored for medical imaging, business operations, and healthcare analytics, with limited supervision from the Senior AI Solutions Engineer.
- Designs and develops integrations using REST API endpoints and third-party services.
- Develops and refines generative AI models (e.g., large language models, diffusion models) and integrates emerging AI APIs (Anthropic Claude, OpenAI GPT4, Google Gemini).
- Deploys models within production environments across cloud-native and edge platforms, applying established patterns and contributing to design decisions.
- Integrates AI-driven solutions with EMR/EHR systems, PACS, clinical workflows, and modern data infrastructure.
- Participates in technical consulting activities, communicating AI capabilities to clinical and operational stakeholders.
- Integrates AI tools into existing business systems and processes.
- Collaborates directly with process owners to understand task logic and data flows, translating requirements into working solutions.
- Ensures security, data privacy, and human-in-the-loop review where needed.
- Maintains and documents AI systems to support stability and reproducibility.
- Applies clean coding standards and DevOps best practices.
- Provides guidance and informal mentoring to the Junior AI Solutions Engineer, assisting with onboarding, code review, and knowledge transfer.
- Other special projects and duties as assigned.
- Ability to maintain strict confidentiality within the Inland Imaging companies and Inland's customers.
- Honest, pleasant manner and good personal hygiene.
- Free of alcohol and drug abuse.
- Ability to access multiple worksites in a timely manner.
- Excellent communication and interpersonal skills.
- Detail oriented; ability to multi-task; organized and able to work in a fast-paced environment.
- Demonstrates self-directed learning and participation in continuing education through professional journals, approved seminars, etc.
- Adheres to departmental standards and personnel policies by demonstrating professional demeanor in conduct and appearance.
- Follows company departmental standards and personnel policies by using good teamwork and communication skills to help identify concerns and solutions, assisting where needed to ensure a smooth functioning department.
- Follows all Health and Safety policies and guidelines of Inland Imaging and its partners depending on work location
- Performs other duties as required by displaying team spirit and self-growth, accepting and performing other projects and responsibilities, and requesting other projects and responsibilities.
- Attendance is required for this position.
- Rotates to other shifts and locations as needed.
- There is no responsibility in this position
- Show We Care, Do The Right Thing, Maximize Individual Potential, Challenge Convention
- Education: Bachelor's degree in software engineering, AI, Data Science or equivalent experience.
- Experience:
- Four or more years of related experience required, including 3+ years Software Engineering or AI/MI development.
- Demonstrated experience developing and deploying generative AI solutions using API's such as OpenAI, Anthropic or similar platforms.
- Hands-on experience with CI/CD pipeline tools (GitHub Actions, Jenkins, Azure DevOps, GitLab CI).
- Strong programming skills (Python required; JS, R or similar a plus).
- Excellent communication skills; able to explain technical concepts to clinical and operational teams.
- Willingness to travel ~10% to client sites and conferences.
- Ability to work in a high energy, team environment.
- Licensure: Valid driver's license and vehicle insurance, or the ability to access multiple worksites in a timely manner.
- Computer Skills: Outlook; Microsoft Office Suite, Advanced Excel, Word and PowerPoint, Workday, Webex; Smartsheet, etc.
- Drug Test: Eligible employees must be able to pass a post-offer, pre-employment drug test.
Vacancy posted 2 days ago
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