Overview
Remote
Hybrid
Accepts corp to corp applications
Contract - Long Term
Skills
Amazon Web Services
Amazon Elastic Compute Cloud
EMR
USE Cases
Best Practices
Technical Design
Business Requirements
Migrations
Deployment
Kubernetes
AWS Cloudformation
Enterprise Application
HL7
Continuous Integration/Delivery
DATA SCIENCE
Docker
EPIC
Meditech
Cerner
HIPAA
Electronic Health Records
Translate
Technical Leadership
Governance
Performance Optimization
Enterprise Architecture
Identity and Access Management
AWS Certified
Encryption
Security Architecture
Security Design
Zachman
Job Details
Position: Solution Technical Architect AWS & AI Specialization (Healthcare Focus)
Location: US(Remote)
Location: US(Remote)
Role Overview
We are seeking an experienced Solution Technical Architect with deep expertise in AWS
cloud infrastructure, AI/ML technologies, and healthcare domain solutions to drive
mission-critical digital transformation initiatives for US-based healthcare clients.
This role will be pivotal in bridging enterprise architecture standards, cloud-native solution
design, and AI-driven innovation-ensuring alignment with compliance frameworks such as
HIPAA, HL7/FHIR, and HITRUST. The architect will lead solution strategy, design, and technical
governance, working closely with stakeholders to deliver secure, highly available, and scalable
enterprise healthcare solutions.
Key Responsibilities:
Architect and Design Solutions
Develop resilient, always-on AWS cloud infrastructure and application
architectures that meet high availability, redundancy, and scalability
requirements.
Ensure cloud bursting capabilities and performance optimization to handle
dynamic workloads.
Security and Compliance
Implement security design hardening best practices in line with HIPAA,
HL7/FHIR, and HITRUST compliance.
Lead security architecture reviews covering IAM, encryption, and network
security for healthcare applications.
AI/ML Integration
Design AI/ML workflows, APIs, and large language model (LLM) deployment
strategies for clinical, operational, and patient engagement use cases.
Collaborate with data science teams to operationalize AI in production using
AWS services (SageMaker, Bedrock, Comprehend Medical, etc.).
Design AI/ML workflows, APIs, and large language model (LLM) deployment
strategies for clinical, operational, and patient engagement use cases.
Collaborate with data science teams to operationalize AI in production using
AWS services (SageMaker, Bedrock, Comprehend Medical, etc.).
Healthcare Solution Alignment
Translate healthcare business requirements into cloud-native technical
architectures, integrating with EMR/EHR systems (Epic, Cerner, Athenahealth,
etc.).
Consult on interoperability standards (HL7, FHIR) and healthcare data exchange
strategies.
Translate healthcare business requirements into cloud-native technical
architectures, integrating with EMR/EHR systems (Epic, Cerner, Athenahealth,
etc.).
Consult on interoperability standards (HL7, FHIR) and healthcare data exchange
strategies.
Collaboration and Leadership
Partner with enterprise architects to align solution designs with governance
frameworks (TOGAF, Zachman).
Lead technical design sessions, architecture reviews, and solution validation with
both technical and executive stakeholders.
Support pre-sales engagements, proposal creation, and client workshops to
position healthcare-focused AWS and AI solutions.
Partner with enterprise architects to align solution designs with governance
frameworks (TOGAF, Zachman).
Lead technical design sessions, architecture reviews, and solution validation with
both technical and executive stakeholders.
Support pre-sales engagements, proposal creation, and client workshops to
position healthcare-focused AWS and AI solutions.
Required Qualifications
Experience
12+ years in solution architecture, cloud engineering, or technical leadership
roles.
Strong healthcare domain experience (Provider, Payer, or Healthcare Technology
sectors).
Proven experience in AWS cloud services (VPC, EC2, EKS, Lambda, RDS,
CloudFormation, etc.).
Technical Expertise
Proficiency in AI/ML architectures, including cloud-native AI deployments, model
orchestration, and inferencing.
Deep understanding of healthcare data workflows, interoperability, and clinical
application integration.
Strong knowledge of enterprise security, compliance, and governance.
Soft Skills
Exceptional communication and consultative skills for engaging senior healthcare
executives.
Ability to balance strategic vision with hands-on technical leadership.
Preferred Qualifications
AWS Certified Solutions Architect Professional or equivalent certifications.
Hands-on knowledge of EMR/EHR platforms (Epic, Cerner, Allscripts, Meditech,
Athenahealth).
Familiarity with AI ethics, model governance, and responsible AI practices in healthcare.
Experience with CI/CD pipelines, observability platforms, and container orchestration
(Docker, Kubernetes).
AWS Certified Solutions Architect Professional or equivalent certifications.
Hands-on knowledge of EMR/EHR platforms (Epic, Cerner, Allscripts, Meditech,
Athenahealth).
Familiarity with AI ethics, model governance, and responsible AI practices in healthcare.
Experience with CI/CD pipelines, observability platforms, and container orchestration
(Docker, Kubernetes).
Prior involvement in Healthcare cloud migrations, AI adoptation programs or digital transformation strategies
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.