NTT DATA  Services

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

NTT DATA Services$122K — $283K *
US-AnywhereRemote in Plano, TX
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of strong experience in Python-based AI systems
  • 8+ years of hands-on experience with GenAI (LLMs, RAG, embeddings)
  • 8+ years of experience in traditional ML (classification, regression, NLP)
  • 5+ years of full-stack experience (API design + UI integration)
  • 5+ years of Azure cloud experience (Azure ML, Azure OpenAI)
  • 5+ years in regulated or compliance-heavy domains with a strong learning mindset

Responsibilities

  • Design and implement agent-based AI workflows in healthcare, manufacturing, and finance
  • Build LLM-powered systems including RAG and multi-agent orchestration
  • Develop classical ML models for risk scoring, prediction, and anomaly detection
  • Implement HIPAA-aware AI architectures ensuring auditability
  • Integrate AI systems with EHRs and various data platforms like IoT and ERP
  • Translate medical workflows into agent logic by collaborating with SMEs
  • Deploy and optimize AI systems on Azure cloud infrastructure

Benefits

  • Remote work flexibility
  • Exposure to cutting-edge AI technologies
  • Collaborative work environment with industry experts
  • Opportunities for career advancement and learning
  • Involvement in diverse projects across multiple domains
Full Job Description
Req ID: 383047

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).

Job Description - AI Architect - Senior AI Engineer - Agentic Systems

Day to Day job Duties: (what this person will do on a daily/weekly basis)

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.

Key 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


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


Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $122,648 - 283,906. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us.

About NTT DATA Services

NTT DATA Corporation is a Japanese multinational information technology service and consulting company headquartered in Tokyo, Japan. It is partially-owned subsidiary of Nippon Telegraph and Telephone. Japan Telegraph and Telephone Public Corporation, a predecessor of NTT, started Data Communications business in 1967. NTT, following its privatization in 1985, spun off the Data Communications division as NTT DATA in 1988, which has now become the largest of the IT Services companies headquartered in Japan.
Learn more about NTT DATA Services
Size
151,991 employees
Industry
Founded
1988
NASDAQ

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