AI Architect Director - Agentic Systems
About The Position
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 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) Collaborate with SMEs to translate medical workflows into agent logic
Requirements
- 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)
- Experience building production AI systems, not just prototypes
- Ability to explain AI decisions to non-technical stakeholders
Responsibilities
- Design and implement agent-based AI workflows
- Design agentic AI architectures for manufacturing workflows
- Build multi-agent financial AI systems
- Implement RAG over financial documents, policies, contracts, and filings
- Develop classical ML models
- Implement HIPAA aware AI architectures with auditability and traceability
- Implement GenAI systems using RAG over CRM, customer data, and content
- Build full-stack applications
- Collaborate with SMEs to translate medical workflows into agent logic
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What This Job Offers
Job Type
Full-time
Career Level
Director
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
