Principal Solution Engineer, Atlanta

Job Title: Principal Solution Engineer

Job Location: Atlanta, GA

Workplace Type: Remote  (requiring annual visit to office) 

Workplace Schedule: Monday through Friday 
Job Summary:

The Principal Solution Engineer is a key member of the Enterprise Architecture organization. Responsibilities include building cutting-edge software and services in the healthcare and business domains, optimizing existing solutions and workflows, and developing innovative solutions to address emerging problem statements. This role engages with the enterprise architecture team to identify and implement solutions for complex technical challenges.

The engineer is expected to continually learn new tools, platforms, and languages as needed to accomplish tasks. A strong understanding of modern architecture, implementation standards, and high-performance systems is essential. The ideal candidate brings deep technical expertise across multiple programming languages, infrastructure standards, and application integration patterns, and thrives in a highly collaborative environment.

Core Responsibilities and Essential Functions:

Participate as a member of a high-performance Agile team

Contribute to architectural reviews and propose alternative solutions

Collaborate with application engineering, data engineering, and business automation teams

Interface with business stakeholders to understand use cases and workflows

Educate peers on best practices and cutting-edge technologies

Perform other duties as assigned

Comply with all organizational policies, standards of work, and code of conduct

Required Minimum Education:

Bachelor's degree in Computer Science

Master's degree in Computer Science – Preferred

Required Minimum Experience:

Minimum 7 years of experience in software engineering, process automation, or architecture

Experience designing, developing, and deploying full-stack applications

Experience with event-driven architectures

Experience with both on-premise and cloud computing environments

Experience with application virtualization and containerization

Experience with SSO systems (e.g., OAuth2, SAML)

Preferred: Experience implementing AI/ML models in production (cloud, edge, or on-premise)

Preferred: Hands-on experience with MLOps pipelines, model versioning, and CI/CD for AI deployment

Preferred: Experience working with healthcare data (e.g., EHRs, imaging, genomics, claims data, FHIR/HL7 standards)

Required Minimum Skills:

Strong knowledge of database management and query languages (SQL, NoSQL, BigQuery, Snowflake)

Proficiency with multiple programming languages (e.g., C#, Java, Python, Kotlin, Node.js)