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Enterprise AI Architect (Remote)
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Enterprise AI Architect (Remote)
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Jobright.ai Get AI-powered advice on this job and more exclusive features. Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: MD Anderson Cancer Center is dedicated to eliminating cancer through innovative patient care, research, prevention, and education. They are seeking an Enterprise AI Architect to lead the design and implementation of AI/ML architectures that drive transformative innovations in clinical care, operations, research, and education across the organization. Responsibilities: • Architect and govern scalable, secure AI/ML platforms aligned with institutional strategy. • Collaborate with other institutional architects to ensure alignment across the digital operations ecosystems, promoting consistency and synergy. • Lead multidisciplinary teams to implement AI/ML infrastructure supporting development, deployment, monitoring, and auditability. • Integrate AI/ML platforms with HealthIT (Epic, PACS, LIS) and enterprise applications using FHIR, HL7, and DICOM standards. • Collaborate with cybersecurity and compliance teams to enforce zero-trust security, IAM, encryption, and more to ensure HIPAA compliance. • Provide strategic guidance on vendor partnerships, platform selection, and integration decisions. • Support the implementation of AI lifecycle management, with an emphasis on model monitoring, audit trails, and safety/impact tracking to ensure positive clinical, operational, and financial outcomes. Qualifications: Required: • Ten years of experience in platform technology to include five years of experience in software integration, to include five years of supervisory/managerial experience. • Deep understanding of AI lifecycle Management, AI/ML Platform architecture. • Knowledge of EPIC, PACS, LIS, and other HealthIT/business systems including ServiceNow, SalesForce, etc. • Strong understanding of enterprise architecture frameworks (e.g., TOGAF). • Expertise in AI/ML platform infrastructure, including Kubernetes, NVIDIA DGX, and Azure. • Experience integrating AI/ML platforms, solutions, models with healthcare IT and business systems. • Familiarity with healthcare interoperability and compliance standards: HL7, FHIR, DICOM, HIPAA, FDA guidelines. • Extensive hands-on experience with Azure cloud services including Azure ML, AKS, Azure DevOps, and Azure Data Factory. • Proficiency in DevOps, CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes). • Skilled in network and security architecture, including zero-trust models, IAM, encryption, and secure data transit. • Experience implementing AI model monitoring, audit trails, and impact measurement frameworks. • Knowledge of enterprise data platforms (e.g., Azure Fabric), data pipelines, and data governance frameworks to support AI/ML. • Skilled in translating clinical, operational, and strategic business requirements into robust AI architectures. • Experienced in comprehensive risk assessment related to security, compliance, and ethical AI deployment. • Capable in performing quantitative evaluations for AI infrastructure planning and vendor selections. • Proven ability to foster collaborative decision-making processes with clinical, technical, and executive teams. • Exceptional skill in communicating complex AI strategies and architectures effectively to stakeholders. • Adept in crafting detailed yet accessible documentation to facilitate governance, compliance, and clarity. • Effective in preparing strategic reports highlighting impacts, risks, and recommendations clearly for executive stakeholders. Preferred: • Microsoft Certified: Azure Solutions Architect Expert, or equivalent • EPIC Cogito, Caboodle Certification, Cognitive Computing Certification, or other certifications • Demonstrated expertise architecting complex hybrid cloud/on-prem infrastructures, AI/ML development and deployment ecosystems, Health IT integration, and governance frameworks. • Proven ability to collaborate with senior leadership, clinicians, and technical teams to translate complex requirements into scalable platform architectures. Company: MD Anderson Cancer Center's mission is to eliminate cancer Founded in 1994, headquartered in Houston, Texas, USA, team size 10001+ employees, currently Late Stage. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
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Salesforce Communications Cloud Business Architect
Houston, TX $123,200.00-$160,000.00 1 week ago Houston, TX $175,000.00-$225,000.00 2 weeks ago Salesforce Communications Cloud DevOps Architect
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Enterprise AI Architect (Remote)
role at
Jobright.ai 2 days ago Be among the first 25 applicants Join to apply for the
Enterprise AI Architect (Remote)
role at
Jobright.ai Get AI-powered advice on this job and more exclusive features. Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: MD Anderson Cancer Center is dedicated to eliminating cancer through innovative patient care, research, prevention, and education. They are seeking an Enterprise AI Architect to lead the design and implementation of AI/ML architectures that drive transformative innovations in clinical care, operations, research, and education across the organization. Responsibilities: • Architect and govern scalable, secure AI/ML platforms aligned with institutional strategy. • Collaborate with other institutional architects to ensure alignment across the digital operations ecosystems, promoting consistency and synergy. • Lead multidisciplinary teams to implement AI/ML infrastructure supporting development, deployment, monitoring, and auditability. • Integrate AI/ML platforms with HealthIT (Epic, PACS, LIS) and enterprise applications using FHIR, HL7, and DICOM standards. • Collaborate with cybersecurity and compliance teams to enforce zero-trust security, IAM, encryption, and more to ensure HIPAA compliance. • Provide strategic guidance on vendor partnerships, platform selection, and integration decisions. • Support the implementation of AI lifecycle management, with an emphasis on model monitoring, audit trails, and safety/impact tracking to ensure positive clinical, operational, and financial outcomes. Qualifications: Required: • Ten years of experience in platform technology to include five years of experience in software integration, to include five years of supervisory/managerial experience. • Deep understanding of AI lifecycle Management, AI/ML Platform architecture. • Knowledge of EPIC, PACS, LIS, and other HealthIT/business systems including ServiceNow, SalesForce, etc. • Strong understanding of enterprise architecture frameworks (e.g., TOGAF). • Expertise in AI/ML platform infrastructure, including Kubernetes, NVIDIA DGX, and Azure. • Experience integrating AI/ML platforms, solutions, models with healthcare IT and business systems. • Familiarity with healthcare interoperability and compliance standards: HL7, FHIR, DICOM, HIPAA, FDA guidelines. • Extensive hands-on experience with Azure cloud services including Azure ML, AKS, Azure DevOps, and Azure Data Factory. • Proficiency in DevOps, CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes). • Skilled in network and security architecture, including zero-trust models, IAM, encryption, and secure data transit. • Experience implementing AI model monitoring, audit trails, and impact measurement frameworks. • Knowledge of enterprise data platforms (e.g., Azure Fabric), data pipelines, and data governance frameworks to support AI/ML. • Skilled in translating clinical, operational, and strategic business requirements into robust AI architectures. • Experienced in comprehensive risk assessment related to security, compliance, and ethical AI deployment. • Capable in performing quantitative evaluations for AI infrastructure planning and vendor selections. • Proven ability to foster collaborative decision-making processes with clinical, technical, and executive teams. • Exceptional skill in communicating complex AI strategies and architectures effectively to stakeholders. • Adept in crafting detailed yet accessible documentation to facilitate governance, compliance, and clarity. • Effective in preparing strategic reports highlighting impacts, risks, and recommendations clearly for executive stakeholders. Preferred: • Microsoft Certified: Azure Solutions Architect Expert, or equivalent • EPIC Cogito, Caboodle Certification, Cognitive Computing Certification, or other certifications • Demonstrated expertise architecting complex hybrid cloud/on-prem infrastructures, AI/ML development and deployment ecosystems, Health IT integration, and governance frameworks. • Proven ability to collaborate with senior leadership, clinicians, and technical teams to translate complex requirements into scalable platform architectures. Company: MD Anderson Cancer Center's mission is to eliminate cancer Founded in 1994, headquartered in Houston, Texas, USA, team size 10001+ employees, currently Late Stage. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for “Enterprise Architect” roles.
Salesforce Communications Cloud Business Architect
Houston, TX $123,200.00-$160,000.00 1 week ago Houston, TX $175,000.00-$225,000.00 2 weeks ago Salesforce Communications Cloud DevOps Architect
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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