Lead Solutions Engineer

AbsoluteCARE Medical Center & Pharmacy; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

AbsoluteCARE Medical Center & Pharmacy seeks a Lead Solutions Engineer to design, build, and support healthcare data pipelines and govern Agentic AI workflows enabling clinical initiatives, care management programs, and population health operations. You will partner with clinical operations, analytics, and technology teams to translate clinical needs into secure AI solutions.

The role spans Azure data services, SQL, Python, healthcare data platforms, and emerging Agentic AI frameworks to improve

Qualifications

• Bachelor’s degree in information technology, computer science, data science, statistics, mathematics, health sciences, or related field, or equivalent work experience required.
• 5+ years of healthcare data experience in provider, value-based care, population health, care management, payer operations, eligibility, claims, EHR, or clinical data environments.
• 5+ years of professional data engineering, analytics engineering, or healthcare data platform experience.
• 5+ years of hands-on SQL development experience including relational databases, querying, stored procedures, performance tuning, data modeling, and production data quality controls.
• 5+ years of hands-on Python experience for data engineering, automation, API integration, transformation, orchestration, or AI workflow development.
• Experience with Microsoft Azure data services or Microsoft cloud platform patterns (Azure SQL, Data Factory, Data Lake, Functions, Synapse, Fabric).
• Hands-on experience developing and implementing AI-enabled solutions using Azure OpenAI Services, Generative AI, Agentic AI, RAG, vector databases, LLM orchestration frameworks, prompt engineering, model evaluation methodologies, and enterprise governance controls.
• Understanding healthcare privacy, PHI handling, data governance, access controls, auditability, and secure data engineering practices.
• Strong knowledge of relational databases, data warehouses, ETL/ELT design, data quality controls, and decision-support tools.

Responsibilities

• Design, build, and maintain robust healthcare data pipelines using Python, SQL, and Azure data services.
• Design Agentic AI workflows with human-in-the-loop review, source traceability, audit logging, and role-based access controls for clinical use cases.
• Collaborate with clinical stakeholders to ensure AI workflows support operations without replacing clinical judgment.
• Build reusable data and AI components supporting clinical summaries, care gap workflows, risk stratification, and operational decision support.
• Develop and optimize ETL/ELT processes integrating payer, clinical, EHR, care management, eligibility, claims, and operational data.
• Support Azure-based data engineering patterns including Azure SQL, Data Factory, Data Lake, Functions, and related services.
• Implement validation and monitoring controls for AI outputs to reduce risk of inaccuracies.
• Ensure AI workflows follow HIPAA privacy, PHI handling, security, and data governance requirements.
• Collaborate with stakeholders to identify healthcare opportunities where AI automation improves outcomes.
• Document and communicate technical design, data lineage, mappings, rules, and implementation strategy.
• Participate in roadmap planning for future-state data warehouse, Azure modernization, and AI enablement.
• Interpret healthcare data and business processes to translate requirements into scalable IT solutions.
• Relate disparate datasets to extract actionable insights for reporting and analysis.
• Lead technical design for data engineering and AI workflow initiatives from requirements to production.
• Define reusable patterns, standards, and best practices for healthcare pipelines and AI orchestration.
• Develop monitoring and observability processes for production AI solutions.
• Review designs and mappings to ensure scalability, quality, and compliance.
• Maintain security and privacy of all information for patients, employees, and partners.

Skills

SQL

Python

Azure

Data governance

AI workflows

Security & PHI

Docs & communication

Stakeholder collaboration

Education

Bachelor’s degree in IT/CS/data science or related field

Equivalent work experience

Tools

Azure SQL

Azure Data Factory

Azure Data Lake

Azure Functions

Synapse

Job description

Job Summary

This role will design, build, and support healthcare data pipelines and govern Agentic AI workflows that enable clinical initiatives, care management programs, population health operations, and value-based care outcomes. This role will partner with clinical operations, Medical Economics, analytics, business, and technology teams to translate clinical workflow needs into secure, scalable, auditable data and AI solutions.

The Lead Solutions Engineer will work across Azure data services, SQL, Python, healthcare data platforms, and emerging Agentic AI frameworks to develop solutions that improve data usability, workflow automation, clinical decision support, and operational efficiency. This role requires technical depth, strong documentation discipline, sound judgement with sensitive healthcare data, and the ability to apply emerging AI capabilities responsibly.

Duties and Responsibilities

• Design, build, and maintain robust healthcare data pipelines using Python, SQL, and Azure data services.
• Design Agentic AI workflows with human-in-the-loop review, source traceability, audit logging, and role-based access controls for clinical and operational use cases.
• Collaborate with clinical stakeholders to ensure AI workflows support clinical operations without replacing clinical judgment or required clinical review.
• Build reusable data and AI components that can support clinical summaries, care gap workflows, risk stratification, member outreach, care management prioritization, and operational decision support.
• Develop and optimize ETL/ELT processes that integrate payer, clinical, EHR, care management, eligibility, claims, and operational data.
• Support Azure-based data engineering patterns, including Azure SQL, Azure Data Factory, Azure Data Lake, Azure Functions, and related Microsoft data platform services.
• Implement validation and monitoring controls for AI-generated outputs to reduce risk of inaccurate, incomplete, or unsupported responses.
• Ensure AI workflows follow healthcare privacy, PHI handling, security, and data governance requirements.
• Collaborate with stakeholders to identify healthcare and value-based care opportunities where AI-enabled automation can improve operational throughput, documentation quality, analytics delivery, or member outcomes.
• Document and communicate technical design, data lineage, data mappings, validation rules, and implementation strategy for data engineering and AI solutions.
• Participate in roadmap planning for future-state data warehouse, Azure modernization, data quality, and healthcare AI enablement initiatives.
• Interpret healthcare data and business processes to translate requirements into scalable IT solutions.
• Relate disparate datasets to extract actionable insights and support standardized reporting, ad-hoc analysis, and operational decision support.
• Lead technical design for assigned data engineering and Agentic AI workflow initiatives from requirements through production implementation.
• Define reusable patterns, standards, and best practices for healthcare data pipelines, RAG workflows, AI orchestration, and Azure-based implementation.
• Develop monitoring, observability, performance measurement, and operational support processes for production AI and Agentic AI solutions.
• Review technical designs, data mappings, and implementation approaches to ensure scalability, maintainability, quality, and compliance.
• Maintain the security and privacy of all information owned by AbsoluteCare or maintained on behalf of the company’s patients, employees, and business partners.

Minimum Qualifications

• Bachelor’s degree in information technology, computer science, data science, statistics, mathematics, health sciences, or related field, or equivalent work experience required.
• 5+ years of healthcare data experience, especially in provider, value-based care, population health, care management, payer operations, eligibility, claims, EHR, or clinical data environments.
• 5+ years of professional data engineering, analytics engineering, or healthcare data platform experience.
• 5+ years of hands-on SQL development experience, including relational databases, querying, stored procedures, performance tuning, data modeling, and production data quality controls.
• 5+ years of hands-on Python experience for data engineering, automation, API integration, transformation, orchestration, or AI workflow development.
• Experience with Microsoft Azure data services or Microsoft cloud platform patterns, such as Azure SQL, Azure Data Factory, Azure Data Lake, Azure Functions, Synapse, Fabric, or related services.
• Hands-on experience developing and implementing AI-enabled solutions using Azure OpenAI Services, Generative AI, Agentic AI, RAG, vector databases, LLM orchestration frameworks, prompt engineering, model evaluation methodologies, and enterprise governance controls.
• Understanding healthcare privacy, PHI handling, data governance, access controls, auditability, and secure data engineering practices.
• Strong knowledge of relational databases, data warehouses, ETL/ELT design, data quality controls, and decision-support tools.
• Ability to work independently with limited direction while managing multiple priorities.
• Excellent written and verbal communication skills with experience working with technical teams, business users, clinical stakeholders, and leadership.
• Strong documentation skills and a passion for transforming healthcare data into measurable clinical and operational outcomes.

Preferred Qualifications

• Experience with healthcare systems and standards such as eCW, Epic, Jiva, FHIR, HL7, HIE data, CMS reporting, HEDIS, Stars, or risk adjustment datasets.
• Experience implementing Agentic AI solutions using frameworks such as Semantic Kernel, LangGraph, LangChain, AutoGen, CrewAI, or equivalent orchestration frameworks.
• Experience with Git/GitHub, CI/CD, DevOps practices, automated testing, code review, and deployment controls.
• Azure Data Engineer Associate, Azure AI Engineer, or related Microsoft certification preferred.

Working conditions

This job operates in a remote location from your home location. This role requires a dedicated, quiet workspace with the ability to adhere to HIPAA and other privacy policies. A reliable and high-speed Wi-Fi connection or home internet is required to perform the essential functions of this role.

Physical requirements

• Ability to communicate clearly and exchange accurate information constantly.
• Ability to remain stationary for long periods of time.
• Constantly operates computer, keyboard, copy and fax machine, phone, and other general office equipment.
• Repetitious Movements.

• Ability to occasionally move objects up to 20 lbs.

Direct reports

None