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

NTT DATA ServicesPlano, TX
$122,648 - $283,906Remote

About The Position

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a AI Architect - Senior AI Engineer - Agentic Systems (Remote) to join our team in Plano, Texas (US-TX), United States (US). As an AI Architect, You will design and build agentic AI systems for multiple Domains such as Healthcare/ Finance/ Retail etc. You will combine GenAI, ML, and systems engineering to create AI agents that interact with machines, data streams, and enterprise systems.

Requirements

  • 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

Nice To Haves

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

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

Benefits

  • NTT DATA provides a reasonable range of compensation for specific roles.
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