AI Architect

The Nippon Telegraph and Telephone Corporation (NTT)

$176K — $187K *
Healthcare
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8-12+ years of experience in AI/ML and Software Engineering
  • Expertise in Python-based AI systems
  • Hands-on experience with Generative AI technologies
  • Proficient in traditional ML methodologies
  • Experience with Azure cloud services
  • Comfortable interfacing with subject-matter experts
  • Ability to communicate technical AI concepts to non-technical stakeholders

Responsibilities

  • Design and implement agent-based AI workflows for healthcare
  • Build AI systems powered by large language models (LLMs)
  • Develop classical ML models for various healthcare applications
  • Implement HIP-compliant AI architectures for auditability
  • Create full-stack applications with Python APIs and UI dashboards
  • Integrate AI solutions with healthcare data systems
  • Collaborate with healthcare SMEs to translate workflows into agent logic

Benefits

  • Medical, dental, and vision insurance
  • Flexible spending and health savings accounts
  • Life and AD&D insurance
  • Short- and long-term disability coverage
  • Paid time off
  • 401k participation with company match
  • Employee assistance programs
Full Job Description
Req ID: 367047 NTT DATA's Client is currently seeking an AI Architect to join their team in Dallas, Texas (US-TX), United States (US). REMOTE Job Description: Location: Hybrid / Remote (Client-facing via NTT DATA) Primary Stack: Python, Azure (Azure AI Studio, Azure ML, Azure OpenAI) Day to Day job Duties: (what this person will do on a daily/weekly basis) Role Overview You will design and build agentic AI systems for healthcare using the NeuroStack Agentic Operating System. You will work closely with clinical SMEs, healthcare operations experts, and compliance teams to deliver production-grade AI solutions across diagnostics, care coordination, clinical documentation, population health, and operational optimization. This role blends Generative AI, classical ML, and full-stack engineering in regulated environments. Key Responsibilities Design and implement agent-based AI workflows for healthcare use cases (clinical assistants, triage agents, care pathway optimization, RCM automation) Build LLM-powered systems (RAG, tool-calling agents, multi-agent orchestration) Develop classical ML models (risk scoring, prediction, clustering, anomaly detection) Implement HIP ware AI architectures with auditability and traceability Build full-stack applications (Python APIs, AI services, UI dashboards) Integrate with EHRs, data lakes, and healthcare systems (FHIR/HL7 exposure preferred) Collaborate with SMEs to translate medical workflows into agent logic Deploy, monitor, and optimize AI systems in Azure Basic Qualifications: (what are the skills required to this job with minimum years of experience on each) Required Qualifications Experience: 8-12+ years (AI/ML, Software Engineering) Strong experience in Python-based AI systems Hands-on experience with GenAI (LLMs, RAG, embeddings, prompt engineering) Experience with traditional ML (classification, regression, NLP, time-series) Full-stack experience (API design + UI integration) Azure cloud experience (Azure ML, Azure OpenAI, Functions, AKS) Experience working in regulated or compliance-heavy domains Comfortable working with subject-matter experts Strong learning mindset and adaptability Experience building production AI systems, not just prototypes Ability to explain AI decisions to non-technical stakeholders Interest in agentic AI and next-generation AI architectures Nice to Have Healthcare domain exposure FHIR / HL7 familiarity AWS, GCP, or NVIDIA AI stack experience Knowledge of model governance and explainability #LI-NorthAmerica Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is ($85 - 90/hourly ). This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications. This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include 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, and additional voluntary or legally required benefits.

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