Note: The job is a remote job and is open to candidates in USA. NTT DATA North America is a global innovator in business and technology services, seeking an AI Architect to join their team in Dallas, Texas. The role involves designing and building agentic AI systems across various domains, integrating machine learning and systems engineering to create AI agents that interact with enterprise systems.
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
- Strong experience in Python-based AI systems - 8+ Years
- Hands-on experience with GenAI (LLMs, RAG, embeddings, prompt engineering) - 8+ Years
- Experience with traditional ML (classification, regression, NLP, time-series)
- Full-stack experience (API design + UI integration) - 5+ Years
- Azure cloud experience (Azure ML, Azure OpenAI, Functions, AKS) - 5+ Years
- 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
- Medical, dental, and vision insurance
- Flexible spending or health savings account
- Life, and AD&D insurance
- Short-and long-term disability coverage
- Paid time off
- Employee assistance
- Participation in a 401k program with company match
- Additional voluntary or legally required benefits
Company Overview
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