[Hiring] AI & ML Solutions Architect for Healthcare @NTT DATA Services

Role Description

We are seeking an experienced AI Solutions Architect to design and deliver artificial intelligence, machine learning, and generative AI solutions for healthcare systems, hospitals, academic medical centers, physician groups, and integrated delivery networks. This role will partner with clinical, operational, financial, digital, data, and technology leaders to translate provider business challenges into scalable AI-enabled solutions. The ideal candidate has strong knowledge of:

• Provider operations
• Electronic health record ecosystems
• Clinical workflows
• Healthcare data standards
• Cloud architecture
• Analytics platforms
• Responsible AI practices

The AI Solutions Architect will lead solution design across areas such as:

• Clinical documentation
• Revenue cycle
• Patient access
• Capacity management
• Care coordination
• Population health
• Quality improvement
• Provider experience
• Patient engagement
• Supply chain
• Administrative automation

Location: Remote in the United States

Qualifications

• Bachelor’s degree in computer science, information systems, engineering, data science, healthcare informatics, clinical informatics, or a related field.
• 8+ years of experience in technology architecture, data architecture, analytics, AI/ML, enterprise solution delivery, or healthcare technology consulting.
• 4+ years of experience supporting healthcare providers, health systems, hospitals, academic medical centers, physician groups, or integrated delivery networks.
• Hands-on experience designing AI, machine learning, generative AI, analytics, or automation solutions in production environments.
• Strong understanding of provider business and clinical processes, including patient access, EHR workflows, clinical documentation, care delivery, revenue cycle, quality reporting, population health, and patient engagement.
• Experience with healthcare data standards and regulations, such as HIPAA, FHIR, HL7, CDA, X12, USCDI, interoperability requirements, and clinical data exchange.
• Experience with major cloud platforms such as AWS, Azure, or Google Cloud, including data, AI, security, integration, and governance services.
• Familiarity with modern AI patterns such as RAG, vector databases, prompt engineering, model evaluation, MLOps, LLMOps, clinical validation, and AI governance.
• Ability to communicate complex technical concepts to executive, clinical, operational, financial, and technical audiences.
• Strong consulting, facilitation, problem-solving, stakeholder management, and executive presentation skills.

Requirements

• 8+ years of experience in designing and developing AI/ML solutions
• 4+ years of experience in healthcare Provider technology, consulting, or systems integration.

Benefits

• Medical, dental, and vision insurance
• Flexible spending or health savings account
• Life and AD&D insurance
• Short and long term disability coverage
• Paid time off
• Employee assistance
• Participation in a 401k program with company match
• Additional voluntary or legally-required benefits