AI Solutions Architect

3 days ago

Bengaluru, Karnataka, India beBeeArchitectural Full time ₹ 25,00,000 - ₹ 40,00,000
Job Title:

AI Architecture Specialist

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Job Summary : We are seeking an experienced AI architecture specialist to lead the design, development and deployment of intelligent systems utilizing large language models (LLMs) and agentic frameworks. This role will play a key part in building next-generation AI applications that autonomously reason, act and learn across complex business workflows.

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Key Responsibilities : ">

  1. ">

  2. Solution Development: Design and implement applications using LLMs and build autonomous multi-agent systems using agentic frameworks like AutoGen or CrewAI. Develop scalable backend services and orchestration pipelines using Python/Node.js integrated with AI APIs.

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  3. Architecture & Engineering: Translate business requirements into agentic workflows with reasoning, memory and tool usage. Integrate GenAI and agents with enterprise systems via APIs and RAG pipelines. Define reference architectures for GenAI and agentic patterns.

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Required Skills and Qualifications :

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  • Generative AI: Hands-on experience with LLMs, Diffusion and audio-/vision models; experience with HF Transformers and LangChain/LlamaIndex.">
  • Agentic Frameworks: Experience designing goal-oriented agents using AutoGen or CrewAI; familiarity with tool-calling, memory management and AI schedulers.">
  • Cloud & DevSecOps: Terraform, Kubernetes, Docker, serverless, GPU orchestration, secret management and SAST/DAST integration.">
  • Programming: Python (primary), TypeScript/Node, Bash; strong design-pattern discipline and code-review leadership.">
  • Build replaceable but working proof-of-concepts.">
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Benefits : As an AI architecture specialist, you will own the end-to-end architecture for enterprise-grade GenAI solutions and multi-agent systems. You will partner with product owners, data scientists, platform engineers, security and business stakeholders to accelerate AI-driven transformation while safeguarding performance, ethics and regulatory compliance.

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Education : Bachelor's or master's degree in computer science, Data Science, Artificial Intelligence, Engineering or a related field.

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