While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!
About Quantiphi:
Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients.
Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries.
Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters.
We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including:
- 21 Google Cloud Partner of the Year awards in the past 10 years
- 3 AWS AI/ML Partner of the Year awards
- 3 NVIDIA Partner of the Year awards
- 3 Snowflake Partner of the Year awards
- Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms
Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators.
We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture.
For more details, visit: Website or LinkedIn Page
Role: Associate Architect - Software Development (Epic Integrations)
Experience Level: 8+ years
Employment type: Full Time
Location: Remote (USA); Miami, FL is preferred
What you will do:
Pipeline Development : Architect, test, and maintain robust batch and stream ingestion pipelines handling high-volume HL7 v2 and FHIR messages.
System Integration : Establish secure, automated server-to-server connections with hospital EHRs and clinical networks using OAuth 2.0 asymmetric authentication.
Data Quality & Validation : Implement schema evolution checks, automated error handling, deduplication, and real-time data transformation rules.
Compliance & Privacy Guardrails : Ensure all data ingestion channels strictly comply with PHM,HIPAA, SOC 2, and data privacy frameworks with complete auditability.
Performance Tuning : Resolve network bottlenecks and optimize distributed queries over complex on-premise and hybrid cloud environments.
Basic Qualifications:
Extensive expertise in Epic modules (Ambulatory, Inpatient, MyChart) and integration technologies (FHIR, HL7 v2, Epic Interconnect, Chronicles, Clarity, Caboodle) to build compliant healthcare data exchanges.
Proven track record designing enterprise SaaS microservices using ReactJS, Python APIs (FastAPI, Flask, Django), and containerized or serverless AWS services (Lambda, API Gateway, SQS, SNS).
Skilled in end-to-end architecture—from defining requirements and database interactions to translating complex workflows and balancing custom code against native Epic capabilities.
Deep experience crafting comprehensive testing strategies, including unit and integration testing (Pytest, Jest, React Testing Library), Git version control, and maintaining technical architecture documentation.
Demonstrated ability to lead code reviews, troubleshoot cross-environment production issues, drive customer-facing communications, and collaborate effectively in distributed Agile teams.
Preferred Qualifications:
Experience with Epic's App Orchard program and developing applications for the Epic ecosystem.
Experience with other healthcare integration engines (e.g., Rhapsody, Mirth Connect, Cloverleaf).
Clinical background or strong understanding of clinical terminology and workflows.
GenAI & ML solution design experience, particularly for healthcare data analysis or predictive modeling.
Experience incorporating GenAI and automation practices into SDLC.
Exposure to development of data pipelines, especially for extracting and transforming healthcare data from Epic.
Exposure to DevOps best practices such as infrastructure as code and CI/CD pipelines for healthcare applications.
Exposure to large-scale digital transformation initiatives within healthcare organizations.
Knowhow of NoSQL databases.
What is in it for you:
Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale.
Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges.
Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents.
Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Skills Required
- 8+ years of professional experience
- Extensive expertise in Epic Ambulatory, Inpatient, and MyChart modules
- Expertise with FHIR, HL7 v2, Epic Interconnect, Chronicles, Clarity, and Caboodle
- Experience designing enterprise SaaS microservices using ReactJS and Python APIs with FastAPI, Flask, or Django
- Experience with containerized or serverless AWS services, including Lambda, API Gateway, SQS, and SNS
- End-to-end software architecture experience, including requirements, database interactions, workflow translation, and Epic capability evaluation
- Experience creating testing strategies using unit and integration testing, Pytest, Jest, and React Testing Library
- Git version control experience and technical architecture documentation skills
- Ability to lead code reviews and troubleshoot cross-environment production issues
- Customer-facing communication experience and ability to collaborate in distributed Agile teams
- Experience with Epic App Orchard and Epic ecosystem application development
- Experience with Rhapsody, Mirth Connect, Cloverleaf, or other healthcare integration engines
- Clinical background or strong understanding of clinical terminology and workflows
- GenAI and machine learning solution design experience for healthcare data
- Experience incorporating GenAI and automation into software development lifecycles
- Experience developing data pipelines to extract and transform healthcare data from Epic
- Exposure to infrastructure as code and CI/CD practices for healthcare applications
- Exposure to large-scale healthcare digital transformation initiatives
- Knowledge of NoSQL databases
Quantiphi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Quantiphi and has not been reviewed or approved by Quantiphi.
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Wellbeing & Lifestyle Benefits — Wellbeing initiatives such as monthly meeting-free AMA-Zen Days, health check-ups, and wellness counseling are designed to reduce burnout and support day-to-day balance. Broader wellness programs reinforce both physical and mental health.
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Flexible Benefits — Remote/hybrid options with flexible working hours provide meaningful autonomy over where and when work gets done. Flexible leave constructs, including sabbaticals and special day leaves, add practical adaptability to the package.
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Parental & Family Support — Paid parental leave in the U.S., alongside maternity and childcare support, signals solid backing for families. These family-oriented policies integrate with a wider health and wellness focus.
Quantiphi Insights
What We Do
Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business. Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed.
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