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Healthcare Interoperability Jobs in California (NOW HIRING)

Senior Software Engineer

San Francisco, CA ยท On-site

$180K - $215K/yr

Strong Python development proficiency, applying Domain-Driven Design (DDD) principles, and architecting robust microservices and event-driven architectures at scale. * Healthcare Interoperability:

Senior Software Engineer

San Francisco, CA ยท On-site

$180K - $215K/yr

Strong Python development proficiency, applying Domain-Driven Design (DDD) principles, and architecting robust microservices and event-driven architectures at scale. * Healthcare Interoperability:

Senior Software Engineer, Backend

Santa Monica, CA ยท On-site

$137K - $181K/yr

... or healthcare interoperability standards (FHIR, HL7) โ€ข Experience building systems managing HIPAA compliant data or similar compliance-driven industries with data security requirements โ€ข ...

Senior Software Engineer

San Francisco, CA ยท On-site

$144K - $190K/yr

Work with healthcare interoperability standards such as FHIR and HL7. * Design data ingestion pipelines that normalize, validate, and securely store clinical data. Data Visualization & Insights

Senior Software Engineer

San Francisco, CA ยท On-site +1

$144K - $190K/yr

Work with healthcare interoperability standards such as FHIR and HL7. * Design data ingestion pipelines that normalize, validate, and securely store clinical data. Data Visualization & Insights

Senior Software Engineer

San Francisco, CA ยท On-site

$144K - $190K/yr

Strong Python development proficiency, applying Domain-Driven Design (DDD) principles, and architecting robust microservices and event-driven architectures at scale. * Healthcare Interoperability:

Senior Software Engineer

San Francisco, CA ยท On-site

$144K - $190K/yr

Strong Python development proficiency, applying Domain-Driven Design (DDD) principles, and architecting robust microservices and event-driven architectures at scale. * Healthcare Interoperability:

Clinical Product Manager

San Francisco, CA ยท On-site +1

$200K - $300K/yr

Familiarity with EHR systems, clinical data standards (HL7, FHIR), and healthcare interoperability * Comfort with technical discussions and ability to collaborate effectively with engineering teams ...

Monitor healthcare industry trends, AI regulation, interoperability standards, and policy changes to guide customer and product strategy. Represent OpenAI at industry conferences and thought ...

Showing results 21-40

Healthcare Interoperability information

See California salary details

$35K

$70.9K

$95.7K

How much do healthcare interoperability jobs pay per year?

As of Aug 18, 2026, the average yearly pay for healthcare interoperability in California is $70,909.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,200.00 and $83,400.00 per year, depending on experience, location, and employer.

What is a healthcare interoperability job?

A Healthcare Interoperability job focuses on ensuring seamless data exchange between different healthcare systems, applications, and organizations. Professionals in this role work with standards like HL7, FHIR, and APIs to enable secure and efficient communication. They collaborate with IT teams, healthcare providers, and vendors to integrate electronic health records (EHRs) and other digital systems. The goal is to enhance patient care, streamline operations, and comply with regulatory requirements.

What are some common challenges faced by professionals working in healthcare interoperability roles?

Professionals in Healthcare Interoperability often encounter challenges such as integrating diverse electronic health record (EHR) systems, navigating varying data standards, and ensuring that sensitive patient information remains secure and compliant with regulations. Collaboration across IT, clinical, and administrative departments requires effective communication and the ability to translate complex technical issues into practical solutions for stakeholders. Rapidly evolving standards and regulatory requirements also require ongoing education and adaptability. Overcoming these challenges is critical to facilitating accurate, efficient data exchange and ultimately supporting better patient outcomes.

What are the key skills and qualifications needed to thrive in the healthcare interoperability position, and why are they important?

To thrive in Healthcare Interoperability, you need a solid understanding of healthcare data standards (such as HL7, FHIR, and CDA), health information technology, and compliance regulations like HIPAA, often supported by degrees in health informatics or computer science. Experience with interoperability platforms, EHR systems (e.g., Epic, Cerner), interface engines, and relevant certifications (like CPHIMS or HL7) is highly valuable. Strong analytical skills, problem-solving ability, and excellent communication help professionals collaborate effectively across clinical, technical, and administrative teams. These competencies ensure seamless data exchange, regulatory compliance, and improved patient care quality across diverse healthcare settings.

What is the role of healthcare interoperability in healthcare?

Healthcare interoperability is a key aspect of healthcare jobs, involving the ability of different health information systems to exchange, interpret, and use patient data effectively. It enables seamless data sharing among providers, improves care coordination, and supports accurate decision-making, often requiring knowledge of standards like HL7 and FHIR. Professionals in this field work to ensure secure, efficient data exchange to enhance patient outcomes.

What are popular job titles related to Healthcare Interoperability jobs in California?

For Healthcare Interoperability jobs in California, the most frequently searched job titles are:

What job categories do people searching Healthcare Interoperability jobs in California look for?

The top searched job categories for Healthcare Interoperability jobs in California are:

Infographic showing various Healthcare Interoperability job openings in California as of August 2026, with employment types broken down into 2% As Needed, 72% Full Time, 12% Part Time, and 14% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $70,909 per year, or $34.1 per hour.

Applied AI Engineer (LLMs, Agents, and Healthcare AI)

Human Longevity, Inc.

South San Francisco, CA โ€ข On-site

Full-time

Re-posted 24 days ago


Job description

About Human Longevity, Inc. (HLI) 

Human Longevity, Inc. (HLI) is a leader in precision health, combining genomics, advanced imaging, biomarker testing, and artificial intelligence to transform the future of proactive healthcare. Our mission is simple: help people live longer, healthier lives through earlier detection, personalized insights, and data-driven healthcare. 

We believe AI will fundamentally reshape healthcare over the next decade. From clinician copilots and patient-facing assistants to autonomous workflows and intelligent healthcare operations, AI will become deeply embedded across every aspect of healthcare delivery. 

We are looking for an exceptional Applied AI Engineer who can help build that future. This is not a traditional data science role. This is a hands-on engineering role focused on building, deploying, and scaling real-world AI applications that create measurable impact across clinical, operational, and member experiences. 

What You'll Do 

As an Applied AI Engineer, you will build AI-powered products and agentic systems that help clinicians, care teams, operations staff, and members work more effectively. 

You will rapidly prototype, deploy, and iterate on AI solutions using the latest advances in Large Language Models, Retrieval-Augmented Generation (RAG), agent frameworks, and healthcare data platforms. 

Build AI Products 

  • Design, build, and deploy AI-powered applications from concept to production. 

  • Rapidly prototype new ideas and transform them into production-ready systems. 

  • Partner directly with clinicians, operators, and business stakeholders to identify high-value opportunities. 

  • Deliver solutions that create measurable operational, clinical, or member-facing impact. 

Build AI Agents 

  • Design and deploy autonomous and semi-autonomous AI agents. 

  • Implement multi-agent workflows that automate complex healthcare processes. 

  • Evaluate and integrate modern agent frameworks and orchestration platforms. 

  • Build AI assistants that support clinical operations, member engagement, and internal productivity. 

Develop LLM Applications 

  • Build applications leveraging state-of-the-art Large Language Models. 

  • Develop Retrieval-Augmented Generation (RAG) systems across structured and unstructured healthcare data. 

  • Optimize prompts, workflows, evaluation systems, and agent behavior. 

  • Implement knowledge retrieval systems that unlock value from clinical, genomic, imaging, and operational data. 

Engineer AI Infrastructure 

  • Build scalable data pipelines and AI services. 

  • Create reusable AI components, APIs, and internal platforms. 

  • Improve reliability, observability, performance, and security of AI systems. 

  • Support deployment and monitoring of production AI applications. 

Own End-to-End Delivery 

  • Take ownership from idea through production deployment. 

  • Work cross-functionally with engineering, clinical, operations, and leadership teams. 

  • Continuously evaluate and improve AI solutions based on real-world outcomes. 

Required Qualifications 

Healthcare Experience (Required) 

  • 4+ years of experience building software, AI, machine learning, or data-driven applications within healthcare, life sciences, biotechnology, genomics, diagnostics, digital health, or clinical environments. 

  • Direct experience working with healthcare data, including one or more of: 

  • Clinical records 

  • Laboratory data 

  • Genomics data 

  • Imaging reports 

  • Physician documentation 

  • Patient communications 

  • Healthcare operational workflows 

  • Strong understanding of healthcare terminology, clinical workflows, and the practical challenges of deploying AI solutions in healthcare settings. 

AI Engineering Experience 

  • Proven experience building and deploying production AI applications. 

  • Hands-on experience with Large Language Models (LLMs) and modern AI application development. 

  • Experience with Retrieval-Augmented Generation (RAG), agentic AI systems, prompt engineering, and workflow automation. 

  • Strong product mindset with the ability to identify business problems and rapidly build solutions. 

  • Experience deploying systems used by real customers, clinicians, patients, or operational teams. 

Technical Skills 

  • Strong proficiency in Python. 

  • Experience with SQL and modern database technologies. 

  • Experience with APIs, integrations, and distributed systems. 

  • Familiarity with cloud platforms and modern software engineering practices. 

  • Strong understanding of software architecture, testing, and deployment. 

Preferred Qualifications 

  • Experience with genomics, precision medicine, longevity medicine, radiology, pathology, or advanced diagnostics. 

  • Experience with healthcare interoperability standards such as FHIR and HL7. 

  • Experience building clinician-facing AI products. 

  • Experience building patient-facing AI assistants. 

  • Experience with healthcare privacy, security, and compliance requirements. 

  • Startup or high-growth technology company experience. 

Experience With One or More of the Following 

  • OpenAI, Anthropic, Gemini, or similar foundation models 

  • LangGraph 

  • LangChain 

  • CrewAI 

  • AutoGen 

  • PydanticAI 

  • Vector databases 

  • Enterprise search systems 

  • Agent orchestration platforms 

  • Workflow automation tools 

Who Thrives Here 

You will thrive at HLI if you: 

  • Love building and shipping products quickly. 

  • Enjoy solving messy, real-world problems. 

  • Are excited about the future of AI agents. 

  • Can move from concept to production with minimal oversight. 

  • Prefer impact over academic research. 

  • Are energized by startup environments and rapid iteration. 

  • Want to help transform healthcare through technology. 

Why Join HLI 

Build the Future of Healthcare AI 

Work at the intersection of AI, genomics, diagnostics, and precision medicine. 

Real-World Impact 

Build systems used by clinicians, healthcare teams, and members every day. 

Cutting-Edge Technology 

Work with the latest AI models, agent frameworks, healthcare datasets, and precision medicine technologies. 

Mission-Driven Work 

Help advance HLI’s mission to extend healthy human lifespan through proactive, personalized healthcare. 

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