AI/ML Engineer

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

Required 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

Nice to Have

• Healthcare domain exposure
• FHIR / HL7 familiarity
• AWS, GCP, or NVIDIA AI stack experience
• Knowledge of model governance and explainability

About NTT DATA

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize, and transform for long-term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com