Artificial Intelligence Architect / AI Architect

As an AI Solutions Architect, your primary role will be to design and lead the implementation of enterprise-scale AI platforms and applications. You will be expected to have deep expertise in various areas including software architecture, distributed systems, cloud-native platforms, and modern AI technologies such as LLMs, RAG, AI agents, MCP ecosystems, and enterprise AI governance. Your key responsibilities will include: - Defining AI architecture strategy and technical roadmap - Designing scalable AI platforms and enterprise AI solutions - Selecting appropriate AI patterns like RAG, agentic systems, workflows, and hybrid architectures - Designing vector search, knowledge management, and retrieval strategies - Defining AI security, governance, compliance, and risk controls - Leading high-level and low-level solution design activities - Establishing engineering standards and best practices - Guiding development teams through implementation - Driving scalability, resilience, performance, and cost optimization - Collaborating with business stakeholders and leadership teams Required skills for this role include: - Architecture - High-Level Design (HLD) - Distributed Systems - Microservices - Low-Level Design (LLD) - Cloud Architecture - Enterprise Architecture - Event-Driven Systems - AI Architecture - LLM architecture patterns - MCP ecosystems - RAG architectures - Multi-agent systems - Vector databases - Knowledge management systems - AI governance - AI security - Evaluation frameworks - Leadership - Technical leadership - Delivery ownership - Mentoring - Architecture review If you are looking for a challenging role where you can demonstrate your expertise in AI architecture and lead the successful delivery of production-grade AI systems, this position could be the perfect fit for you. As an AI Solutions Architect, your primary role will be to design and lead the implementation of enterprise-scale AI platforms and applications. You will be expected to have deep expertise in various areas including software architecture, distributed systems, cloud-native platforms, and modern AI technologies such as LLMs, RAG, AI agents, MCP ecosystems, and enterprise AI governance. Your key responsibilities will include: - Defining AI architecture strategy and technical roadmap - Designing scalable AI platforms and enterprise AI solutions - Selecting appropriate AI patterns like RAG, agentic systems, workflows, and hybrid architectures - Designing vector search, knowledge management, and retrieval strategies - Defining AI security, governance, compliance, and risk controls - Leading high-level and low-level solution design activities - Establishing engineering standards and best practices - Guiding development teams through implementation - Driving scalability, resilience, performance, and cost optimization - Collaborating with business stakeholders and leadership teams Required skills for this role include: - Architecture - High-Level Design (HLD) - Distributed Systems - Microservices - Low-Level Design (LLD) - Cloud Architecture - Enterprise Architecture - Event-Driven Systems - AI Architecture - LLM architecture patterns - MCP ecosystems - RAG architectures - Multi-agent systems - Vector databases - Knowledge management systems - AI governance - AI security - Evaluation frameworks - Leadership - Technical leadership - Delivery ownership - Mentoring - Architecture review If you are looking for a challenging role where you can demonstrate your expertise in AI architecture and lead the successful delivery of production-grade AI systems, this position could be the perfect fit for you.