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NTT DATA Services

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers, and application services. Our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Agentic AI Systems Developer

Location

Canada

Posted

38 days ago

Salary

0

Seniority

Mid Level

No structured requirement data.

Job Description

Agentic AI Systems Developer

NTT DATA Services

Role Description 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 Qualifications - Experience: 8–12+ years (AI/ML, Software Engineering) - Primary Stack: Python, Azure (Azure AI Studio, Azure ML, Azure OpenAI) - 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 Requirements - Nice to Have: - Healthcare domain exposure - FHIR / HL7 familiarity - AWS, GCP, or NVIDIA AI stack experience - Knowledge of model governance and explainability

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