MLops, compliance alignment, agent workflow orchestration, evaluation dataset design, defining guardrails standards, LLMOps, AI GenAI architecture patterns, corpus preparation, prompt lifecycle management, CI CD, Security-by-design, network boundaries, monitoring approach, embedding design, retrieval strategy, Data strategy architecture, Governance guardrails, model registry, deployment strategy, Access Control, solution reference architectures

process mining , Ibm Watson, Cloud, MLops, multi-agent orchestration, Claude, Business Process Mapping, Responsible AI frameworks, LLM architecture, Azure AI Copilot, GenAI architecture, IT enterprise architecture concepts, Google Vertex AI, observability, API-first, AI architecture, prompt engineering, agentic workflows, RAG, MCP, cloud AI platforms, AI governance, Gemini, Amazon Bedrock

scalable systems , Machine Learning, Tensorflow, MLops, Pytorch, Terraform, Kubernetes, Python, Logging, LangChain, GenAI, Generative AI, Model Routing, LLMs, RAG systems, LLMOps, Hugging Face, ML libraries, transformer architectures, LlamaIndex, Observability, Agent Context Management

Enterprise Application Integration, LLM ecosystems, AWS Bedrock, AI agents integrations, vector databases, model orchestration, Azure OpenAI, Monitoring, AI architecture, Agentic AI, Security, data ingestion, cloud-native platforms, RAG pipelines

.NET, Python, Evaluation frameworks and metrics for AI systems, AI observability monitoring, Vector databases, LLM orchestration, RAG architectures

Solution architecture, Enterprise Architecture, Togaf, AWS Bedrock, GCP Vertex, LLM integration, Powerpoint, Technology strategy, Cloud AI services, Document design, Azure OpenAI, Cloud-native architecture patterns, platform architecture, Microsoft Copilot Studio

bedrock , Tensorflow, Pytorch, Python, AWS, SageMaker, Large Language Model, Hugging Face Transformers, generative AI, AI Architect, Retrieval Augmented Generation

S3, RDS, Dynamodb, React, Lambda, CloudFront, Docker, ECS, FastAPI, Python, Api Gateway, AWS, LangChain, LLMs, monitoring frameworks, DevOps practices, Vector Databases, Embeddings, CI CD pipelines, GenAI integrations, RAG, Prompt Engineering, LlamaIndex

data quality assurance , object storage , Kafka, Azure DevOps, Azure, Jenkins, Spark, AWS Bedrock, Feast, distributed query engines, OpenAI, Amazon Deequ, Data Architecture for AI, cloud native ETL, DataHub, Apache Atlas, Power BI with Copilot, LangChain, CrewAI, data lakehouses, LangGraph, GitHub Actions, ELT frameworks, platform integration, Vertex AI, Great Expectations, Google ADK, Evidently, AutoGen

Sales Engineer, Machine Learning, Data Science, Partner Sales Engineer, Cloud architectures, LLM frameworks, Solutions Architect