Senior AI Architect
hirecrap
Job Description
- Design and architect production-grade AI applications and platforms.
- Build and evolve scalable retrieval and knowledge systems that support AI-powered experiences.
- Design and implement agent-based and multi-agent architectures to solve complex workflows and automation challenges.
- Develop backend services, APIs, data pipelines, and cloud-native infrastructure supporting AI systems.
- Architect end-to-end solutions that balance performance, scalability, reliability, and security.
- Drive technical decisions related to AI application design, orchestration, deployment, and system integration.
- Collaborate with engineering teams to deliver high-quality solutions across multiple layers of the technology stack.
- Integrate AI solutions with internal and external platforms, services, and data sources.
- Contribute to engineering standards, architecture reviews, and technical best practices.
- Mentor engineers and promote a culture of technical excellence.
Core Requirements
- Proven experience designing, building, and deploying AI-powered applications in production environments.
- Strong experience with Retrieval-Augmented Generation (RAG) architectures and retrieval-based systems.
- Experience designing and implementing agent-based or multi-agent systems for real-world production use cases.
- Deep understanding of information retrieval, semantic search, knowledge systems, and AI orchestration patterns.
- Experience developing and optimizing AI workflows, including retrieval, ranking, context management, and response generation.
- Strong software architecture and distributed systems design experience.
- Advanced proficiency in Python and modern software development practices.
- Experience building backend services, APIs, and scalable cloud-native applications.
- Experience with modern frontend technologies such as React, Next.js, or similar frameworks.
- Familiarity with cloud platforms such as AWS, GCP, or Azure.
- Experience with Docker, Kubernetes, and modern deployment practices.
- Understanding of security, authentication, and enterprise integration patterns.
- Excellent written and verbal communication skills in English.
- Ability to work independently in a remote, fast-paced environment.