AI Architect - Senior AI Engineer - Agentic Systems at NTT DATA Services

Job description

Req ID: 383047 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). 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 About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, us.nttdata.com . 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 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 us.nttdata.com . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you'd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here .

Requirements

Must-haves

Req ID: 383047
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).
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.
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 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

Nice-to-haves

Integrate with EHRs, data lakes, and healthcare systems (FHIR/HL7 exposure preferred)
Nice to Have; (But not a must)

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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Platform: successfactors
Effort: medium