Technical Architect for GenAI Applications

6 days ago

Hyderabad, Telangana, India beBeeTechnical Full time ₹ 30,00,000 - ₹ 35,00,000

Job Overview:

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We are seeking an experienced Technical Architect to drive the development of modern, scalable data applications powered by Generative AI.

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Key Responsibilities:

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  • Design and implement Python-based applications integrated with GenAI capabilities.">
  • Translate business requirements into modular, scalable, and maintainable technical solutions.">
  • Guide and mentor backend teams in implementing architecture blueprints.">
  • Evaluate and recommend tools, frameworks, and platforms for LLM providers, vector databases, and cloud-based ML services.">
  • Ensure the security, scalability, and performance of all deployed systems.">
  • Stay current with advancements in GenAI and proactively bring relevant capabilities into solution design.">
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Required Skills:

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  • 8+ years of experience in software engineering, with a minimum of 4 years in a technical leadership or architecture role.">
  • Proven track record in building robust Python-based backend systems using FastAPI, Flask, or Django.">
  • Expertise in microservices architecture, distributed system design, and integration patterns.">
  • Strong familiarity with cloud platforms like AWS, Azure, or GCP and practical knowledge of AI/ML services like SageMaker, Vertex AI, or Azure ML.">
  • Architectural experience with vector databases for semantic search and RAG pipelines.">
  • Understanding of DevOps practices including Docker, Kubernetes, and infrastructure as code.">
  • Knowledge of CI/CD processes, system security, and observability/monitoring frameworks.">
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GenAI & AI/ML Architecture Expertise:

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  • Sound understanding of GenAI system components including LLM lifecycles, embedding generation, prompt orchestration, and RAG architectures.">
  • Ability to architect complete GenAI workflows from context ingestion and enrichment to inference handling and post-processing.">
  • Familiarity with API orchestration, agent-based design patterns, and semantic search strategies.">
  • A strong grasp of AI/ML engineering principles and pipeline design is expected to ensure architecture aligns with model and data needs.">
"]},

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