software engineering practices , bedrock , Ml, Aws Services, MLops, Generative AI, AI workflows, AgentCore, architecture patterns, Agentic technologies, SageMaker, best practices

data engineering , risk systems , Ml, Python, Sql, commodity trading platforms, market data feeds, Ai

LangChain, OPA, AI platforms, guardrail frameworks, vector databases, agent frameworks, prompt engineering, Semantic Kernel, LangGraph, retrieval augmented generation, model evaluation, OpenTelemetry, Langfuse, LLM Ops tooling, Pydantic, LLM application architecture

Machine Learning, ML Ops, DevOps practices, generative AI, cloud-based AI platforms, modern software engineering practices, enterprise AI deployment frameworks, AI technologies

Iso 27001, LangChain, OPA, agent collaboration patterns, NIST AI RMF, AI engineering standards, guardrail frameworks, multi agent architecture, Responsible AI frameworks, prompt engineering, Semantic Kernel, LangGraph, OpenTelemetry, LLM Ops tooling, Langfuse, Pydantic, LLM provider selection

Sql, Rest Apis, Python, data lake environments, enterprise data platforms, RAG embeddings, data pipelines, Agentic AI frameworks, autonomous workflow solutions, Generative AI solutions, document ingestion, AI data preparation techniques, enterprise integration patterns, ETL processes, AI orchestration platforms

probabilistic models , Tensorflow, Deep Learning, Numpy, Pandas, MLops, Pytorch, Python, Scikit-learn, reinforcement learning, classical statistical methods, XAI methodologies

, Problem Management, Arista environments, AWS PrivateLink, security engineering, AWS Direct Connect, AI capabilities, Equinix Fabric

technology governance , Enterprise Architecture, Machine Learning, Generative AI, Agentic AI, Ai