Note: The job is a remote job and is open to candidates in USA. NTT DATA is a business and technology services leader providing enterprise-scale AI, cloud, security, connectivity, data center, and application services. The AI Architect - Senior AI Engineer will design and build agentic AI systems across healthcare, finance, retail, and manufacturing, combining GenAI, machine learning, and systems engineering. The role includes developing AI workflows and LLM-powered systems, integrating enterprise and healthcare platforms, building full-stack applications, and deploying and optimizing solutions in Azure.
Responsibilities
- Design and implement agent-based AI workflows for different domains such as :
- Healthcare use cases (clinical assistants, triage agents, care pathway optimization, RCM automation)
- Design agentic AI architectures for manufacturing workflows
- Build multi-agent financial AI systems (analysis agents, compliance agents, advisory agents)
- Implement RAG over financial documents, policies, contracts, and filings
- 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
- Implement GenAI systems using RAG over CRM, customer data, and content
- Build full-stack applications (Python APIs, AI services, UI dashboards)
- Integrate with EHRs, data lakes, and healthcare systems (FHIR/HL7 exposure preferred)
- Integrate LLMs with sensor data, MES, ERP, and IoT platforms
- Collaborate with SMEs to translate medical workflows into agent logic
- Deploy, monitor, and optimize AI systems in Azure
Skills
- 8+ Years of Strong experience in Python-based AI systems
- 8+ Years of Hands-on experience with GenAI (LLMs, RAG, embeddings, prompt engineering)
- 8+ Years of Experience with traditional ML (classification, regression, NLP, time-series)
- 5+ Years of Full-stack experience (API design + UI integration)
- 5+ Years of Azure cloud experience (Azure ML, Azure OpenAI, Functions, AKS)
- 5+ Years of 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
- Bachelors in Computer Science or equivalent work experience
- Integrate with EHRs, data lakes, and healthcare systems (FHIR/HL7 exposure preferred)
- Multiple Domain exposure
- AWS, GCP, or NVIDIA AI stack experience
- Knowledge of model governance and explainability
- Experience with document intelligence pipelines
Benefits
- This position may also be eligible for incentive compensation based on individual and/or company performance.
- Many positions offer remote or hybrid work options, subject to change based on client requirements.
Company Overview
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