AI Architect

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 HIPAA aware 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 Required Qualifications Experience: 812+ 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 NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here. #J-18808-Ljbffr NTT Data Americas, Inc.