AI Cloud Architect

4 days ago

Meerut, Uttar Pradesh, India beBeeGenAi Full time ₹ 2,50,00,000 - ₹ 3,50,00,000
Senior Technical Architect for Gen AI Solutions

We are seeking a senior technical architect with expertise in generative AI to lead the design and implementation of AI-driven architectures across complex enterprise systems.

This role combines deep coding expertise with a strong architectural mindset to modernize platforms, drive efficiency, and deliver intelligent automation through AI/ML solutions.

The successful candidate will be responsible for designing and developing genAI models for real-world use cases, building scalable web APIs, frontends, and Azure-native applications, and developing AI accelerators including agentic workflows, RAG pipelines, and LLM-integrated solutions.

The ideal candidate will have 13–16 years of total experience in enterprise software, including 5+ years in AI/ML architecture and cloud-native system design. A Bachelor's or Master's in Computer Science, Engineering, or related field is required, along with preferred certifications such as Azure Solutions Architect Expert.

Key Responsibilities:

  • Design and develop genAI models for real-world use cases.
  • Build scalable .NET Core web APIs, Angular/React frontends, and Azure-native applications.
  • Develop AI accelerators including agentic workflows, RAG pipelines, and LLM-integrated solutions.
  • Create and iterate on proof-of-concepts (PoCs) aligned with business use cases.
  • Define and evolve the Gen AI roadmap for SDLC integration.
  • Implement robust CI/CD, security, and code quality practices.

Technical Skill Mandates:

  • Languages & Frameworks:
  • Python, .NET Core, Angular, React.
  • Cloud & AI:
  • Microsoft Azure, Cognitive Services, Ai Foundry, Logic Apps.
  • LLM Techniques:
  • Prompt engineering, fine-tuning, RAG architecture.
  • MLOps practices for model deployment.
  • CI/CD & DevOps:
  • Azure DevOps, GitHub Actions, Infrastructure-as-Code.
  • Architecture Patterns:
  • Event-driven systems, modular, secure, and scalable microservices.

Qualifications & Experience:

  • 13–16 years of total experience in enterprise software.
  • 5+ years in AI/ML architecture and cloud-native system design.
  • Demonstrated ability to code, architect, and lead AI-powered solutions.
  • Bachelor's or Master's in Computer Science, Engineering, or related field.
  • Preferred certifications: Azure Solutions Architect Expert.

About the Opportunity:

  • Opportunity to lead GenAI strategy in a tech-forward organization.
  • Career development and learning opportunities in AI and cloud technologies.

The ideal candidate will thrive in a collaborative, agile environment focused on innovation and delivery.

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