AI Innovation Leader

2 days ago


Mysore, Karnataka, India beBeeGenerative Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Title: Artificial Intelligence Engineering Lead

We are seeking a hands-on Technical Architect specializing in Generative AI to lead the design and implementation of AI-driven architectures across complex enterprise systems, leveraging deep coding expertise and a strong architectural mindset.

  • This role combines technical skills in Python, .NET Core, Angular, and Azure with business acumen to modernize platforms, drive efficiency, and deliver intelligent automation through AI/ML solutions.
Main Responsibilities:Design and Development
  • Create and iterate on GenAI models for real-world use cases (e.g., predictive analytics, document summarization, intelligent workflows).
  • Develop scalable .NET Core Web APIs, Angular/React frontends, and Azure-native applications (Functions, Logic Apps, Azure SQL) that integrate seamlessly.
  • Implement AI accelerators including agentic workflows, RAG pipelines, and LLM-integrated solutions that enhance business processes.
Architecture & Delivery
  • Define and evolve the Gen AI roadmap for SDLC integration, aligning with business goals and objectives.
  • Architect event-driven, cloud-native systems using Azure tools and messaging services like Kafka/Event Grid, ensuring scalability and security.
  • Implement robust CI/CD, security, and code quality practices (e.g., SonarQube, guiderails, IaC with Bicep/ARM) to ensure high-quality delivery.
Team Collaboration
  • Work alongside fellow architects to translate technical strategy into actionable plans that support enterprise goals.
  • Collaborate with stakeholders to identify business opportunities and develop innovative solutions that drive growth.
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 (cloud computing, storage, and networking)
Benefits:
  • Opportunity to work on cutting-edge AI projects and technologies
  • Collaborative team environment with experienced professionals
  • Ongoing training and development opportunities to enhance skills
Key Technologies:
  • Cognitive Services (machine learning, computer vision)
  • AI Foundry (rapid prototyping, proof-of-concepts)
  • Azure SQL (cloud-based database services)


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