Gen AI Architect

Role: Gen AI Solutions Architect Experience:10-15 Years |Location:Straive Global LocationsOverview:As a Solutions Architect, you will lead the design and implementation of enterprise-grade Generative AI solutions. You will bridge the gap between complex data ecosystems and cutting-edge LLM applications, ensuring scalability, security, and measurable ROI.Key Responsibilities: Architectural Leadership:Design end-to-end Gen AI architectures, including RAG (Retrieval-Augmented Generation) frameworks, Agentic workflows, and Multi-modal systems. Data Backbone:Build and oversee robust data pipelines that feed AI models, leveraging your background in Big Data and Cloud Data Warehousing. Model Lifecycle:Manage LLM selection, prompt engineering, fine-tuning strategies, and deployment using MLOps/LLMOps best practices. Enterprise Integration:Ensure AI solutions integrate seamlessly with existing enterprise APIs, microservices, and security protocols. Stakeholder Management:Translate complex technical AI concepts into business value for C-suite stakeholders.Technical Skills Required: Gen AI:LangChain, LlamaIndex, OpenAI/Anthropic SDKs, AgenticAI, Vector DBs (Milvus, Pinecone, Weaviate). Data Engineering:Apache Spark, Python, SQL, ETL/ELT, Databricks, or Snowflake. Cloud:AWS (Bedrock/SageMaker), Azure (OpenAI Service), or GCP (Vertex AI). DevOps:Docker, Kubernetes, and CI/CD for AI.Only Immediate joiners

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