Generative Ai Solution Architect

We are seeking a highly skilled Generative AI Solution Architect with 7+ years of experience having strong backend development expertise, to design, implement, and scale AI-powered solutions across enterprise use cases. The ideal candidate combines deep technical knowledge of backend systems and cloud architectures with hands-on experience in applying Generative AI (GenAI) technologies to real-world problems. This role involves working closely with business stakeholders, data scientists, and engineering teams to design scalable, secure, and high-performing AI-driven applications.

Key Responsibilities

• Architect end-to-end Generative AI solutions, integrating LLMs, vector databases, APIs, and cloud-native services.
• Define system architecture, data flows, and integration strategies between AI models and existing enterprise platforms.
• Ensure solutions are scalable, cost-efficient, secure, and aligned with compliance requirements.
• Lead backend development for AI-driven applications using modern frameworks (e.G., Python, Node.Js ).
• Build and optimize APIs, microservices, and middleware for serving and integrating AI models at scale.
• Implement best practices for caching, asynchronous processing, distributed computing, and high availability.
• Work with LLMs (e.G., GPT, Claude, LLaMA, Gemini), fine-tuning and prompt engineering for domain-specific use cases.
• Integrate vector databases ( Pinecone, Weaviate, FAISS, Milvus, Redis ) for semantic search, RAG (Retrieval-Augmented Generation), and personalization.
• Evaluate, benchmark, and recommend models, frameworks, and tools suitable for enterprise applications.
• Partner with data scientists, ML engineers, and product teams to translate business requirements into technical architectures.
• Mentor development teams on backend and AI integration best practices.
• Serve as a technical advisor in client or stakeholder discussions.

Required Qualifications