Senior AI Architect

hirecrap

pune NM Years Exp Posted 1h ago

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.

 

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