Leading Enterprise AI Strategist

1 day ago

Aligarh, Uttar Pradesh, India beBeeGenerative Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Gen AI Architect Position

This is an exceptional opportunity to work as a Gen AI Architect and contribute your expertise in designing and developing Generative AI models for real-world use cases. You will be part of a team that builds scalable .NET Core Web APIs, Angular/React frontends, and Azure-native applications.

The ideal candidate will have experience in building AI accelerators including agentic workflows, RAG pipelines, and LLM-integrated solutions. A strong background in creating and iterating on proof-of-concepts aligned with business use cases is also necessary.

Key Responsibilities:
  • Design and develop Generative AI 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 aligned with business use cases.
Architecture & Delivery:
  • Define and evolve the Gen AI roadmap for SDLC integration.
  • Architect event-driven, cloud-native systems using Azure tools and messaging services like Kafka/Event Grid.
  • Implement robust CI/CD, security, and code quality practices.
Team & Stakeholder Collaboration:
  • Work alongside fellow architects to align technical strategy with enterprise goals.
  • Partner with business stakeholders to translate workflows into intelligent, automated solutions.
  • Present GenAI solutions and ROI in customer architecture review boards.

Required Skills:

  • Python (AI/LLM workflows, model integration)
  • .NET Core (API development, cloud-native patterns)
  • Angular (v13+) or React (TypeScript-based frontend development)
  • Microsoft Azure
  • Cognitive Services
  • Logic Apps
  • Azure SQL
  • Power Automate AI Builder
  • LLM Techniques:
  • Prompt engineering, fine-tuning, RAG architecture
  • MLOps practices for model deployment
  • CI/CD & DevOps:
  • Azure DevOps, GitHub Actions
  • Infrastructure-as-Code (ARM/Bicep)
  • Architecture Patterns:
  • Event-driven systems (Kafka, Azure Event Grid)
  • Modular, secure, and scalable microservices

Qualifications:

  • 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, AWS/GCP Cloud Architect

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