Agentic AI Engineer

NTT America, Inc.; Los Angeles (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

NTT DATA is seeking an Agentic AI Engineer in Los Angeles to design and build agent-based AI systems across multiple domains, combining GenAI, ML, and systems engineering.

You will develop full-stack AI solutions, integrate with healthcare and enterprise data sources, and deploy in Azure, while collaborating with SMEs to translate workflows into agent logic.

Qualifications

• 8+ years of Python-based AI systems experience.
• 8+ years in GenAI (LLMs, embeddings, RAG, prompts).
• Experience with traditional ML (classification, NLP, time-series).
• Full-stack API design with UI integration.
• Azure cloud experience (Azure ML, OpenAI, AKS, Functions).
• Experience in regulated/compliance-heavy domains.
• Ability to explain AI decisions to non-technical stakeholders.
• Interest in agentic AI and next-gen architectures.
• Degree: Bachelors in Computer Science or equivalent.

Responsibilities

• Design agent-based AI workflows across healthcare, finance, and retail.
• Build agentic AI architectures for manufacturing workflows.
• Develop multi-agent financial AI systems (analysis, compliance, advisory).
• Implement RAG over documents, policies, contracts, and filings.
• Build LLM-powered systems (RAG, tool-calling, orchestration).
• Develop production AI systems and monitor performance.
• Deploy and optimize AI in Azure.
• Integrate with EHRs, data lakes, and healthcare systems.
• Collaborate with SMEs to translate medical workflows into agent logic.

Skills

Python AI

GenAI (LLMs)

Traditional ML

Full-stack API/UI

Azure cloud

Regulated domains

Explain AI decisions

Agentic AI

Education

Bachelor's in Computer Science

Tools

Azure ML

Azure OpenAI

Azure Functions

AKS

FHIR/HL7 exposure

Job description

We are currently seeking a Agentic AI Engineer to join our team in Los Angeles, California (US-CA), United States (US).

The AI Architect 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:

• 8+ years' experience using Python-based AI systems


• 8+ years hands-on experience with GenAI (LLMs, RAG, embeddings, prompt engineering)


• Experience with traditional ML (classification, regression, NLP, time-series)


• Full-stack experience (API design + UI integration) - 5+ Years


• Azure cloud experience (Azure ML, Azure OpenAI, Functions, AKS) - 5+ Years


• 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

Additional Desired Qualifications (Not required)

• 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 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 (http://us.nttdata.com/en/compliance#eeos). If you'd like more information on your EEO rights under the law, please click here (http://us.nttdata.com/en/compliance#know-your-rights). For Pay Transparency information, please click here (http://us.nttdata.com/en/compliance#ppnp).