Software Dev. Sr. Specialist Advisor

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 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 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 Multiple Domain exposure AWS, GCP, or NVIDIA AI stack experience Knowledge of model governance and explainability Experience with document intelligence pipelines