Solution/Integration Architect

Job Description

Description:

At Commence, we’re the start of a new age of data-centric transformation, elevating health outcomes and powering better, more efficient process to program and patient health. We combine quality data-driven solutions that fuel answers, technology that advances performance, and clinical expertise that builds trust to create a more efficient path to quality care.

With human-centered, healthcare-relevant, and value-based solutions, we create new possibilities with data. We provide proof beyond the concept and performance beyond the scope with a focus on efficiencies that transform the lives of those we serve. With a culture driven by purpose, straightforward communication and clinical domain expertise, Commence cuts straight to better care.Requirements:

The Solution/Integration Architect will design and implement health data integration strategies across complex federal health and social services ecosystems. You'll serve as the bridge between federal agency stakeholders and engineering teams, translating program requirements into scalable technical architectures that enable seamless medical evidence collection, multi-channel data ingestion, and compliant delivery of clinical information into federal case management environments.

Lead discovery sessions with federal agency clients and internal stakeholders to understand data needs, evidence workflows, and existing system landscapes

Design end-to-end integration architectures connecting federal health IT systems, health information exchanges, and multi-channel evidence intake pipelines

Define scalable ingestion and normalization pipelines for clinical, administrative, and medical record data received across electronic, fax, paper, and portal channels

Develop technical specifications, data flow diagrams, and integration roadmaps for federal program environments

Design integration architectures that complement existing automated evidence request systems, ensuring coordinated multi-channel evidence collection without duplicate requests across electronic and manual retrieval channels

Implement and optimize data exchanges using HL7 FHIR R4, C-CDA, and other healthcare interoperability standards; design solutions aligned with eHealth Exchange, Carequality, and TEFCA frameworks

Architect AI/NLP-enabled document processing pipelines for medical record classification, extraction, and non-adjudicative summarization — with explicit source traceability requirements

Ensure compliance with federal security and privacy frameworks including FedRAMP, FISMA, and HIPAA across all integration components

Design and maintain integration touchpoints with federal case management and evidence repository systems, ensuring deliverables are consumable within existing agency workflows without requiring changes to agency-side infrastructure

Evaluate build vs. buy decisions and recommend appropriate technologies within FedRAMP-authorized cloud environments (AWS GovCloud, Azure Government)

Collaborate with data and clinical teams to design performant data models that support analytics, reporting, and program performance monitoring

Qualifications

B.S. in Computer Science, Systems Engineering, Health Informatics, or related field; advanced degree a plus

7+ years of experience in federal health IT, health data integration, or a related technical field

Direct experience integrating with federal agency health IT systems or evidence management platforms — federal disability or benefits program environments particularly relevant (SSA, CMS, VA, or HHS)

Strong working knowledge of healthcare interoperability standards: HL7 FHIR R4, C-CDA, eHealth Exchange, Carequality, and/or TEFCA

Experience designing multi-channel clinical document ingestion pipelines handling structured and unstructured medical records at scale

Hands-on FedRAMP authorization experience — system owner, technical lead, or ISSO role preferred

Familiarity with AI/NLP applied to clinical documents, including medical record classification, extraction, or summarization in a HIPAA-covered federal environment

Exposure to major EHR platforms (Epic, Oracle Health/Cerner) and their interoperability connectivity models

Proficiency in at least one backend language (Python, Java, C#) and strong SQL/NoSQL skills

Excellent communication skills with the ability to translate complex technical architectures for both federal agency stakeholders and internal engineering teams

Experience operating within FedRAMP-authorized cloud environments (AWS GovCloud or Azure Government)

This is a remote position. While performing the duties of this job, the employee regularly works in a climate-controlled environment. Candidates must be able to sit, read, work on a computer, and watch a computer screen for extended periods of time. Occasionally required to stand, walk, use hands and fingers, kneel or crouch.

Commence is an equal employment opportunity for employer. All personnel processes are merit-based and applied without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, marital status, age, disability, national or ethnic origin, military and veteran status or any other characteristic protected by applicable law.

Commence.AI is committed to providing equal employment opportunities to all applicants, including individuals with disabilities. If you require reasonable accommodation to participate in the application process due to a disability, please contact Human Resources at or . Please note that unless you are requesting an accommodation, all applications must be submitted through our online application system.

Full-time

Fully remote