AI Architect

Job DescriptionKey Responsibilities Define enterprise level AI architecture and design patterns for ML, Generative AI, and Agent based systems Establish reference architectures for common AI use cases (RAG, copilots, predictive models, automation, decision intelligence) Guide AI Engineers and Data Scientists in designing scalable, cost efficient, and production ready AI solutions Partner with business leaders to translate strategic objectives into AI solution roadmaps Ensure alignment with security, privacy, compliance, and responsible AI policies Evaluate AI platforms, frameworks, and vendors (cloud AI services, LLM providers, vector databases, orchestration tools) Define MLOps / LLMOps standards for model lifecycle, monitoring, observability, and retraining Support AI adoption enablement by contributing to internal best practices, architecture reviews, and technical forums Review and approve AI designs before production rollout________________________________________Required Skills & Experience Strong experience (8+ years preferred) in software and/or data architecture, with hands on AI exposure Deep understanding of:Machine Learning and Deep Learning architectureGenerative AI (LLMs, embeddings, RAG, fine tuning)Agentic and workflow based AI systems Expertise in cloud platforms (Azure, AWS, or GCP) and AI services Experience designing microservices, APIs, event driven architectures Strong knowledge of security, IAM, encryption, and data governance in AI systems Ability to communicate architecture decisions to technical and non technical stakeholdersSalary Range: $120,000 to $150,000 per yearQualifications: BACHELOR OF COMPUTER SCIENCE