{"schemaVersion":"jobsearcher.job.v1","id":"d4daf63aaea37fd2ba07e1b2","url":"https://jobsearcher.com/jobs/d4daf63aaea37fd2ba07e1b2","canonicalUrl":"https://jobsearcher.com/jobs/d4daf63aaea37fd2ba07e1b2","title":"AI Python Architect","description":"Company Overview:\nNTT 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.\n\nRemote contract\n\nNTT DATA's Client is currently an AI Architect to join their team in Dallas, Texas (US-TX), United States (US).\n\nJob Description:\nJob Description - AI Architect - Senior AI Engineer – Agentic Systems\nDay to Day job Duties: (what this person will do on a daily/weekly basis)\nAs an AI Architect, You will design and build agentic AI systems for multiple Domains such as Healthcare/ Finance/ Retail etc.\nYou will combine GenAI, ML, and systems engineering to create AI agents that interact with machines, data streams, and enterprise systems.\n\nKey Responsibilities\nDesign and implement agent-based AI workflows for different domains such as :\nhealthcare use cases (clinical assistants, triage agents, care pathway optimization, RCM automation)\nDesign agentic AI architectures for manufacturing workflows\nBuild multi-agent financial AI systems (analysis agents, compliance agents, advisory agents)\nImplement RAG over financial documents, policies, contracts, and filings\nBuild LLM-powered systems (RAG, tool-calling agents, multi-agent orchestration)\nDevelop classical ML models (risk scoring, prediction, clustering, anomaly detection)\nImplement HIPAA aware AI architectures with auditability and traceability\nImplement GenAI systems using RAG over CRM, customer data, and content\nBuild full-stack applications (Python APIs, AI services, UI dashboards)\nIntegrate with EHRs, data lakes, and healthcare systems (FHIR/HL7 exposure preferred)\nIntegrate LLMs with sensor data, MES, ERP, and IoT platforms\nCollaborate with SMEs to translate medical workflows into agent logic\nDeploy, monitor, and optimize AI systems in Azure\n\nBasic Qualifications: Strong experience in Python-based AI systems - 8+ Years\nHands-on experience with GenAI (LLMs, RAG, embeddings, prompt engineering) - 8+ Years\nExperience with traditional ML (classification, regression, NLP, time-series)\nFull-stack experience (API design + UI integration) - 5+\nYears\nAzure cloud experience (Azure ML, Azure OpenAI, Functions, AKS) - 5+ Years\nExperience working in regulated or compliance-heavy domains\nComfortable working with subject-matter experts\nStrong learning mindset and adaptability\nExperience building production AI systems, not just prototypes\nAbility to explain AI decisions to non-technical stakeholders\nInterest in agentic AI and next-generation AI architectures\nDegree: Bachelors in Computer Science or equivalent work experience\n\nNice to Have; (But not a must)\nMultiple Domain exposure\nAWS, GCP, or NVIDIA AI stack experience\nKnowledge of model governance and explainability\nExperience with document intelligence pipelines\n\n#LI-NorthAmerica\n\nNTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this remote role is [80 -90$ hourly range]. 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.\nThis position is eligible for company benefits including participation in medical, dental, and vision insurance, flexible spending or health savings account, and AD&D insurance, employee assistance, participation in a 401k program, and additional voluntary or legally-required benefits\n\nAbout NTT DATA:\nNTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com\n\nNTT 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. 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.","company":"NTT Data","rawCompany":"ntt data","city":"Dallas","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-08-04T18:18:40.710Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI Python Architect","description":"Company Overview:\nNTT 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.\n\nRemote contract\n\nNTT DATA's Client is currently an AI Architect to join their team in Dallas, Texas (US-TX), United States (US).\n\nJob Description:\nJob Description - AI Architect - Senior AI Engineer – Agentic Systems\nDay to Day job Duties: (what this person will do on a daily/weekly basis)\nAs an AI Architect, You will design and build agentic AI systems for multiple Domains such as Healthcare/ Finance/ Retail etc.\nYou will combine GenAI, ML, and systems engineering to create AI agents that interact with machines, data streams, and enterprise systems.\n\nKey Responsibilities\nDesign and implement agent-based AI workflows for different domains such as :\nhealthcare use cases (clinical assistants, triage agents, care pathway optimization, RCM automation)\nDesign agentic AI architectures for manufacturing workflows\nBuild multi-agent financial AI systems (analysis agents, compliance agents, advisory agents)\nImplement RAG over financial documents, policies, contracts, and filings\nBuild LLM-powered systems (RAG, tool-calling agents, multi-agent orchestration)\nDevelop classical ML models (risk scoring, prediction, clustering, anomaly detection)\nImplement HIPAA aware AI architectures with auditability and traceability\nImplement GenAI systems using RAG over CRM, customer data, and content\nBuild full-stack applications (Python APIs, AI services, UI dashboards)\nIntegrate with EHRs, data lakes, and healthcare systems (FHIR/HL7 exposure preferred)\nIntegrate LLMs with sensor data, MES, ERP, and IoT platforms\nCollaborate with SMEs to translate medical workflows into agent logic\nDeploy, monitor, and optimize AI systems in Azure\n\nBasic Qualifications: Strong experience in Python-based AI systems - 8+ Years\nHands-on experience with GenAI (LLMs, RAG, embeddings, prompt engineering) - 8+ Years\nExperience with traditional ML (classification, regression, NLP, time-series)\nFull-stack experience (API design + UI integration) - 5+\nYears\nAzure cloud experience (Azure ML, Azure OpenAI, Functions, AKS) - 5+ Years\nExperience working in regulated or compliance-heavy domains\nComfortable working with subject-matter experts\nStrong learning mindset and adaptability\nExperience building production AI systems, not just prototypes\nAbility to explain AI decisions to non-technical stakeholders\nInterest in agentic AI and next-generation AI architectures\nDegree: Bachelors in Computer Science or equivalent work experience\n\nNice to Have; (But not a must)\nMultiple Domain exposure\nAWS, GCP, or NVIDIA AI stack experience\nKnowledge of model governance and explainability\nExperience with document intelligence pipelines\n\n#LI-NorthAmerica\n\nNTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this remote role is [80 -90$ hourly range]. 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.\nThis position is eligible for company benefits including participation in medical, dental, and vision insurance, flexible spending or health savings account, and AD&D insurance, employee assistance, participation in a 401k program, and additional voluntary or legally-required benefits\n\nAbout NTT DATA:\nNTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com\n\nNTT 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. 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.","datePosted":"2026-08-04T18:18:40.710Z","dateModified":"2026-08-04T18:18:40.710Z","hiringOrganization":{"@type":"Organization","name":"NTT Data","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d4daf63aaea37fd2ba07e1b2"},"url":"https://jobsearcher.com/jobs/d4daf63aaea37fd2ba07e1b2"}}