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Kaizen Technologies, Inc Logo
Cloud Architect

Kaizen Technologies, Inc

 

Santa Clara, CA, USA

Posted On: 15+ days ago
Experience: 10+ years
Availability: Hybrid
Openings: 1
Category: cloud architect
Tenure: Contract - Corp-to-Corp
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Description

You will architect end-to-end Generative AI solutions, including model serving, API integration, and user interaction layers.

This role is on-site.

Responsibilities

  • Design and implement RAG architecture using vector stores, embeddings, hybrid search, and re-ranking to embed enterprise knowledge into LLMs.
  • Develop and govern Copilots in Copilot Studio, including connectors, actions, plugins, DLP rules, and integration with Microsoft 365.
  • Build agentic systems enabling multi-agent collaboration for complex, stateful workflows and reasoning-driven automation.
  • Leverage Azure AI Foundry to operationalize LLM applications at scale, evaluating performance for quality, latency, and cost efficiency.
  • Implement Responsible AI, security, and HITL controls, ensuring compliance in regulated environments.

Required Skills

  • 8–10 years of experience in cloud architecture or enterprise software engineering.
  • 3+ years of hands-on experience designing or delivering Generative AI or LLM applications.
  • Proven experience with Azure AI Foundry, Azure OpenAI, and Copilot Studio.
  • Hands-on experience with RAG, vector databases (Azure AI Search, Pinecone, OpenSearch, Vertex Matching Engine), and embeddings.
  • Experience deploying AI solutions on AWS (Bedrock, SageMaker) and/or GCP (Vertex AI).
  • Deep understanding of cloud security (IAM/RBAC, Key Vault/KMS, VPC/PrivateLink, token safety).
  • Experience with Kubernetes (AKS/EKS/GKE), containerization, and API frameworks (FastAPI, Node.js, .NET, Python, TypeScript, C#).
  • Working knowledge of transformer architectures and model adaptation techniques (fine-tuning, LoRA, prompt engineering).

Preferred Skills

  • Experience implementing agent-based systems using frameworks like LangChain, LlamaIndex, Semantic Kernel, or AutoGen.
  • Background working with enterprise data ecosystems (Databricks, Snowflake, BigQuery, Redshift).
  • Experience in regulated industries (healthcare, finance, government) with understanding of compliance controls.

Education

Bachelor's or Master's degrees

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