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Testing role that lists Azure Monitoring as the primary required skill. No additional responsibilities or requirements provided; position noted as for testing purposes only.

Lead design, development, and deployment of multi-agent, memory-augmented AI systems using LangGraph and LLM orchestration. Build scalable agent architectures, implement knowledge graphs and vector DBs (Pinecone/Weaviate/FAISS), apply RAG and RLHF/RLAIF, optimize production workflows, run PoCs demonstrating business impact, and mentor AI engineers and data scientists.

Lead the development of mobile test automation, designing frameworks, integrating CI/CD, and performing API and database testing using Agile methodologies.

Lead design, development, and deployment of multi-agent, agentic AI solutions using LangGraph, LLM orchestration, RAG, and RL-based fine-tuning. Build scalable architectures, integrate vector databases and knowledge graphs, run PoCs to demonstrate business impact, and mentor AI engineers and data scientists for production-grade autonomous agents.

Design and execute heterogeneous database migrations to Azure, develop migration scripts (PL/SQL, T-SQL, Python/Bash), create test plans, optimize performance, and document end-to-end migration steps from dev to prod.

Lead migration of applications from Pivotal Cloud Foundry to Azure AKS: assess applications, containerize, configure Kubernetes deployments, automate CI/CD, ensure security/compliance, monitor and document migration, and collaborate with architects and operations.

Design, develop, test, and deploy scalable Salesforce applications using Lightning Web Components. Translate business requirements into technical specs, build integrations with Apex/Visualforce, optimize performance, ensure code quality and security, troubleshoot issues, and participate across the software development lifecycle.

Develop and implement time series forecasting models using statistical, machine learning, and deep learning methods. Clean and process large datasets, validate data, detect anomalies, collaborate with stakeholders, communicate insights, and optimize models for business use in supply chain, demand planning, and inventory.

Lead the architecture and implementation of agentic AI systems: multi-agent orchestration, real-time integrations, STT/NLU ingestion, LLM fine-tuning and RAG pipelines, governance and human-in-the-loop controls, and scalable, low-latency platform design to enable proactive incident triage and automated investigations.

Design and build full‑stack applications using React and Java. Develop microservices with Spring Boot, use Hibernate for persistence, integrate CI/CD and Docker, and work with MySQL/Oracle databases.