Agentic AI Engineer

Location: Los Angeles, California (US-CA), United States

About the role

We are seeking an Agentic AI Engineer to design and build agentic AI systems for multiple domains such as Healthcare, Finance, and Retail. You will combine GenAI, ML, and systems engineering to create AI agents that interact with machines, data streams, and enterprise systems.

Responsibilities

• Design and implement agent-based AI workflows for different domains, including:
  • Healthcare use cases (clinical assistants, triage agents, care pathway optimization, RCM automation)
  • Manufacturing workflows
  • Multi-agent financial AI systems (analysis agents, compliance agents, advisory agents)
• Implement RAG over financial documents, policies, contracts, filings, CRM, customer data, and content
• 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
• Build full-stack applications (Python APIs, AI services, UI dashboards)
• Integrate with EHRs, data lakes, healthcare systems (FHIR/HL7 exposure preferred), sensor data, MES, ERP, and IoT platforms
• Collaborate with subject-matter experts to translate medical workflows into agent logic
• Deploy, monitor, and optimize AI systems in Azure

Requirements

• 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
• Bachelor’s degree in Computer Science or equivalent work experience

Additional Qualifications

• Multiple domain exposure (Healthcare, Finance, Retail, Manufacturing)
• Experience with AWS, GCP, or NVIDIA AI stack
• 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.