Enterprise AI Architect (Remote)

Jobright.ai

Houston (TX)

Remote

USD 123,200 - 160,000

Full time

14 days+

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Benefits offered by this job

Medical insurance

Vision insurance

401(k)

Job summary

A leading cancer care institution in Houston is seeking an experienced Enterprise AI Architect to drive AI/ML innovations in clinical care and operations. The ideal candidate has extensive experience in platform technology, AI lifecycle management, and HealthIT integration. This full-time role includes managing multidisciplinary teams and ensuring compliance with healthcare standards. The position offers a competitive salary and comprehensive medical benefits.

Qualifications

Deep understanding of AI lifecycle Management.
Experience in healthcare IT integration.
Skilled in translating business requirements into AI architectures.

Responsibilities

Architect and govern scalable, secure AI/ML platforms.
Collaborate with other architects for alignment.
Lead teams to implement AI/ML infrastructure.

Skills

AI/ML Platform architecture

Kubernetes

Azure cloud services

HealthIT systems integration

DevOps

Network and security architecture

Education

Ten years of experience in platform technology

Five years in software integration

Tools

Azure ML

Docker

EPIC

Job description

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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