Cloud Architect with expertise in Generative AI

We are seeking a highly skilled Cloud Architect with expertise in Generative AI, Copilot Studio, and multi?cloud platforms spanning Azure (including Azure AI Foundry), AWS, and Google Cloud., * Architect end?to?end Generative AI solutions, including model serving (vLLM, TGI), API integration, and user interaction layers.

• Design and implement RAG architecture using vector stores, embeddings, hybrid search, and re?ranking to embed enterprise knowledge into LLMs.
• Create agentic systems, enabling multi?agent collaboration for complex, stateful workflows and reasoning?driven automation.
• Develop and govern Copilots in Copilot Studio, including connectors, actions, plugins, DLP rules, environment strategy, and integration with Microsoft 365 and enterprise systems.
• Leverage Azure AI Foundry (prompt flow, evaluators, safety, model orchestration) to operationalize LLM applications at scale.
• Evaluate and optimize AI system performance, balancing quality, latency, throughput, cost efficiency, and safety compliance.
• Implement Responsible AI, security, and HITL (HumanintheLoop) controls, ensuring compliance in regulated environments.?in?the?Loop) controls, ensuring compliance in regulated environments.
• Produce clear, maintainable documentation for architecture, patterns, and operational processes.

• 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 (actions, connectors, governance, M365 integration).
• Experience deploying AI solutions on AWS (Bedrock, SageMaker) and/or GCP (Vertex AI).
• Hands?on experience with RAG, vector databases (Azure AI Search, Pinecone, OpenSearch, Vertex Matching Engine), embeddings, and hybrid search.
• Deep understanding of cloud security (IAM/RBAC, Key Vault/KMS, VPC/PrivateLink, token safety).
• Experience with Kubernetes (AKS/EKS/GKE), containerization, API frameworks (FastAPI, Node.js, .NET), Python, TypeScript, or C#/.NET.
• Working knowledge of transformer architectures and model adaptation techniques (fine?tuning, LoRA, prompt engineering).
• Familiarity with AI Ops / MLOps tools such as Prompt Flow, MLflow, SageMaker Pipelines, or Vertex Pipelines.
• Bachelor's/ Masters in Computer Science, Engineering, Information Systems, Data Science, or related field (required).

GyanSys is a leading global system integrator company supporting enterprise customers worldwide. We specialize in solutions implementations, managed services, and data analytics spanning SAP, Salesforce, Microsoft, and other prime enterprise platforms. Using a mature blended delivery model with over 3,000 consultants, we support over 350 enterprise customers across the Americas, Europe, and APAC.