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# AI Architect - Senior AI Engineer - Agentic Systems (Remote)

- **Company:** NTT America, Inc.
- **Location:** Plano, TX, United States (Remote available)
- **Experience:** Expert
- **Salary:** $122,648.0 - $283,906.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Audit Trail, Microsoft Azure, Cluster Analysis, Customer Data Management, Information Extraction, Python (Programming Language), OpenAI, Azure Machine Learning, Fast Healthcare Interoperability Resources, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Agentic-AI, Data Lakes, AI Platforms, Information Technology, Health Level Seven International, Api Design, Automation Anywhere
- **Published:** October 26, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3467549897&tx=JR3327FFG&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

Basic Qualifications: (what are the skills required to this job with minimum years of experience on each)

 * 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

Nice to Have; (But not a must)

 * Multiple Domain exposure
 * AWS, GCP, or NVIDIA AI stack experience
 * Knowledge of model governance and explainability
 * Experience with document intelligence pipelines

## Description

* 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