AI Engineer I

Work Schedule:

9 am to 5 pm

The AI Engineer I supports the design, development, testing, deployment, monitoring, and ongoing improvement of AI and Automation solutions across the organization. Working under the guidance of senior engineers and technical leads, this early career position translates business needs into secure, reliable, and measurable solutions built primarily on the Microsoft ecosystem, including Azure, Microsoft 365 Copilot, Copilot Studio, Power Platform, Microsoft Fabric, and GitHub, while remaining open to other approved AI platforms, models, and tools (such as Claude) as the organization’s AI strategy evolves.

The role promotes an AI-first approach by combining Copilot, approved AI-assisted development tools, workflow automation, and data capabilities to improve productivity, quality, and decision-making. The position collaborates closely with business stakeholders, IT teams, data and application teams, security and compliance partners, and vendors to identify suitable use cases, deliver and support solutions, document standards and procedures, measure business value, and build practical AI engineering skills for future organizational needs.

ESSENTIAL DUTIES AND RESPONSIBILITIES include but are not limited to, the following:

• Designs, develops, configures, tests, and supports AI-enabled applications, copilots, agents, and workflow automations using Microsoft cloud, data, and AI services, under the guidance of senior engineers.
• Partners with business and technical stakeholders to understand processes, identify automation and AI opportunities, document requirements, and translate them into technical tasks.
• Prepares, integrates, and validates structured and unstructured data for AI solutions while following data quality, privacy, security, and access-control standards.
• Supports prompt design, retrieval-augmented generation, model and solution evaluation, and human-in-the-loop review to promote accuracy, safety, and reliability.
• Builds reusable components, APIs, connectors, scripts, and integrations using established software engineering practices, source control, and peer code review.
• Participates in testing, deployment, release, and change management activities, including validation, rollback planning, release notes, and post-release monitoring.
• Provides production support for assigned solutions, including incident triage, troubleshooting, root cause analysis, escalation, communication, and documentation of resolutions.
• Monitors solution usage, performance, cost, and quality; measures adoption, efficiency, and business value; and communicates results through documentation, reports, and dashboards.
• Follows responsible AI, cybersecurity, privacy, and data governance requirements, including the secure handling of PHI, PII, and other confidential information.
• Creates and maintains technical documentation, including solution designs, architecture diagrams, configuration notes, runbooks, troubleshooting guides, support procedures, and change records.
• Uses Copilot and approved AI-assisted tools to improve development, code and script review, testing, documentation, analysis, and productivity while following organizational security and data protection requirements.
• Identifies opportunities to automate routine tasks, reporting, quality checks, and operational processes using approved automation tools and scripts.
• Delivers training, demonstrations, and knowledge sharing that help users and team members adopt AI tools and automation effectively.
• Stays current with advancements in generative AI, machine learning, Microsoft AI and data platforms, automation, and security, and recommends practical improvements when appropriate.

QUALIFICATIONS:

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, skills, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Education/Experience:

Bachelor’s degree in computer science, information technology, data science, software engineering, or a related field, or equivalent practical experience. Zero to two years of relevant experience; internships, academic projects, and independent development are acceptable.

Language Ability:

Ability to read, analyze, and interpret general business periodicals, professional journals, technical procedures, or governmental regulations. Ability to write reports, business correspondence, and procedure manuals. Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public. Convey a skilled phone manner for handling internal and external customers issues.

Math Ability:

Ability to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and trigonometry. Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations.

Reasoning Ability:

Ability to work independently; demonstrate initiative and analytical ability; and possess excellent verbal and written communication skills. Demonstrate the ability to work with minimal supervision and direction.

Computer Skills:

Capacity to cover a broad scope of technologies and functionalities such as password resets (all systems), Microsoft Windows issues or questions, assistance with Outlook or other Office products, etc. Along with these technical skills, this position requires general computer skills including Windows XP, Microsoft Office (Excel, Word), etc. Working knowledge of the Misys Lab system to include patient reporting processes.

Required Foundations

• Software development fundamentals using Python, SQL, REST APIs, source control (Git/GitHub), and common data formats such as JSON, CSV, and XML.
• Generative AI concepts, including large language models, prompt engineering, retrieval-augmented generation, grounding, and evaluation of AI output quality.
• Machine learning fundamentals, including common model types, training and testing concepts, and basic model evaluation metrics.
• Development lifecycle practices, including code review, automated testing, CI/CD concepts, deployment coordination, and post-release monitoring.
• Security and governance awareness, including role-based access, secrets management, data privacy, responsible AI principles, and protection of PHI, PII, and other confidential information.
• Problem-solving and troubleshooting skills for assigned application, integration, data, performance, connectivity, security, and deployment issues, with escalation to senior engineers as needed.
• Documentation skills for solution designs, diagrams, configuration notes, runbooks, troubleshooting guides, test results, and change records.
• Excellent communication skills to explain technical concepts, gather requirements, support users, collaborate with technical and non-technical stakeholders, and provide timely updates.

Working Familiarity (Training Provided)

• Microsoft AI and cloud platforms, including Azure, Azure AI services, Azure OpenAI, Microsoft 365 Copilot, and Copilot Studio; hands-on experience preferred.
• Low-code and automation tools, including Power Apps, Power Automate, and Power BI, for workflow automation, integration, and reporting.
• Data platform knowledge, including SQL Server, Azure SQL, Microsoft Fabric, Dataverse, and basic data modeling, transformation, and quality practices.
• Copilot and approved AI-assisted development tools, including GitHub Copilot, for coding, testing, documentation, and productivity improvement.

Preferred Exposure

• Familiarity with C#, .NET, TypeScript or JavaScript, and PowerShell for solution development, integration, and automation.
• Exposure to other approved AI platforms, models, and tools (such as Claude) used alongside the Microsoft ecosystem as the organization’s AI strategy evolves.

Certificates and Licenses:

A valid driver’s license from the state that the employee resides.

HNL Lab Medicine is an equal opportunity employer. In accordance with, and where applicable, in addition to federal, state and local employment regulations, Lehigh Valley Health Network will provide employment opportunities to all persons without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity, disability or other such protected classes as may be defined by law. All personnel actions and programs will adhere to this policy. Personnel actions and programs include, but are not limited to recruitment, selection, hiring, transfers, promotions, terminations, compensation, benefits, educational programs and/or social activities.

Address:

1791 Airport Rd

Primary Location:

Allentown- Airport Road

Position Type:

Onsite

Department:

1046-00041 IS Engineering