Note: The job is a remote job and is open to candidates in USA. NTT DATA North America is a technology services and consulting company focused on enterprise-scale AI, cloud, security, connectivity, data centers, and application services. The company is seeking an AI Architect/Senior AI Engineer to design, build, integrate, deploy, and optimize agentic AI systems, LLM-powered applications, classical ML models, and full-stack AI solutions across healthcare, finance, retail, and manufacturing domains.
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
- Degree: Bachelors in Computer Science or equivalent work experience
- • Multiple Domain exposure
- • AWS, GCP, or NVIDIA AI stack experience
- • Knowledge of model governance and explainability
- • Experience with document intelligence pipelines
Benefits
- This remote role may offer remote work, subject to client requirements.
- This position may also be eligible for incentive compensation based on individual and/or company performance.
Company Overview
Company H1B Sponsorship