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We are seeking an experienced Gen AI Solution Architect to design and implement enterprise-grade Generative AI solutions. The ideal candidate will lead the architecture, development, and deployment of AI-driven applications while ensuring scalability, security, and integration with enterprise systems.
Job Responsibility:
Design end-to-end architecture for Generative AI solutions
Lead implementation of AI/LLM-based applications and services
Build scalable AI platforms using cloud technologies
Integrate LLMs, vector databases, and enterprise data sources
Define best practices for AI model deployment, monitoring, and governance
Collaborate with data scientists, engineers, and business stakeholders
Ensure AI solutions meet security, compliance, and performance requirements
Provide technical leadership and mentor development teams
Requirements:
Strong experience in Generative AI and LLM architectures
Hands-on experience with Python and AI frameworks
Experience with RAG architectures, vector databases, and embeddings
Knowledge of cloud platforms (AWS, Azure, or GCP)
Experience designing microservices and scalable APIs
Familiarity with MLOps and AI model lifecycle management
Nice to have:
Experience with OpenAI, Azure OpenAI, or similar LLM platforms
Knowledge of LangChain, LlamaIndex, or similar frameworks
Experience implementing enterprise AI governance and security
Strong leadership and stakeholder communication skills