LocationHybrid / Remote (Client‑facing via NTT DATA)Experience & Stack8–12 years (AI/ML, Software Engineering). Primary Stack: Python, Azure (Azure AI Studio, Azure ML, Azure OpenAI)Role OverviewYou 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 ResponsibilitiesDesign 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 traceabilityBuild 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 logicDeploy, monitor,



and optimize AI systems in AzureRequired Qualifications8–12 years (AI/ML, Software Engineering). Primary Stack: Python, Azure (Azure AI Studio, Azure ML, Azure OpenAI).Strong experience in Python‑based AI systemsHands‑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 domainsComfortable working with subject‑matter expertsStrong learning mindset and adaptabilityExperience building production AI systems, not just prototypesAbility to explain AI decisions to non‑technical stakeholdersInterest in agentic AI and next‑generation AI architecturesNice to HaveHealthcare domain exposureFHIR / HL7 familiarityAWS, GCP, or NVIDIA AI stack experienceKnowledge of model governance and explainabilityCompensationStarting hourly rate: $80–$90 per hour.Equal Opportunity EmployerNTT DATA is an equal prospect 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.#J-18808-Ljbffr

📌 Digital Solution Architect Lead Advisor - $80 - $90 An Hour (Winnipeg)
🏢 NTT DATA
📍 Winnipeg