Agentic AI Engineer

NTT
Los Angeles
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Adaptability","Learning mindset","Ability to explain AI decisions","Collaboration","Production focus"]

Design and build agentic AI systems across domains like healthcare, finance, retail, and manufacturing. Combine GenAI/LLMs with RAG, embeddings, and multi-agent orchestration to deliver tool-calling and financial compliance workflows. Develop classical ML models for risk and prediction, implement HIPAA-aware architectures with auditability, and integrate with enterprise systems such as CRM, EHRs (FHIR/HL7), data lakes, MES/ERP, and IoT. Deploy, monitor, and optimize solutions on Azure.

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FursaFursa
NTT
NTT
5 months ago

Agentic AI Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 22 hours agoStatus: Live

Job Summary

Design and build agentic AI systems across domains like healthcare, finance, retail, and manufacturing. Combine GenAI/LLMs with RAG, embeddings, and multi-agent orchestration to deliver tool-calling and financial compliance workflows. Develop classical ML models for risk and prediction, implement HIPAA-aware architectures with auditability, and integrate with enterprise systems such as CRM, EHRs (FHIR/HL7), data lakes, MES/ERP, and IoT. Deploy, monitor, and optimize solutions on Azure.
Location: Los Angeles
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and implement agent-based AI workflows for multiple domains, including healthcare and manufacturing.
  • •Build multi-agent financial AI systems (analysis, compliance, advisory) and implement RAG over financial documents and policies.
  • •Develop LLM-powered systems such as RAG, tool-calling agents, and multi-agent orchestration.
  • •Develop classical ML models (risk scoring, prediction, clustering, anomaly detection) and implement HIPAA-aware, auditable architectures.
  • •Build full-stack AI applications and integrate with enterprise systems (Python APIs, Azure deployment, EHRs via FHIR/HL7, data lakes, MES/ERP, IoT), then deploy, monitor, and optimize on Azure.

Key Requirements

  • •8+ years using Python-based AI systems
  • •8+ years hands-on with GenAI (LLMs, RAG, embeddings, prompt engineering)
  • •Experience with traditional ML (classification, regression, NLP, time-series)
  • •Full-stack experience with API design and UI integration (5+ years)
  • •Azure experience (Azure ML, Azure OpenAI, Functions, AKS)
Experience:HealthcareFinanceRetailComplianceRegulated industriesEnterprise systems
Education:Bachelor's in Computer Science
Skills:AdaptabilityLearning mindsetAbility to explain AI decisionsCollaborationProduction focus
Tech Stack:PythonGenAILLMsRAGEmbeddingsPrompt engineeringMulti-agent orchestrationAzureAzure MLAzure OpenAIAzure FunctionsAKSAPI designUI dashboardsFHIRHL7CRMEHRsData lakesHIPAA

Company Brief

NTT
Dimension Data, operating under NTT Ltd, provides managed IT services, cloud and data center solutions, networking, cybersecurity, and digital transformation services to enterprise customers worldwide.
Industry: Professional Services
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Valuation: Public Company (Market Cap in USD)
Headquarters: London, United Kingdom
Founded: 1983
WebsiteLinkedIn