AI Architect

Key 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 o Machine Learning and Deep Learning architecture o Generative AI (LLMs, embeddings, RAG, fine tuning) o 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 stakeholders Salary Range: $120,000 to $150,000 per year

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