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