Advanced AI Architect Specialist

2 weeks ago


Chennai, Tamil Nadu, India beBeeArtificialIntelligence Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Job Opportunity

At the forefront of technological innovation, a pioneering role has emerged for a Technical Architect specializing in Generative AI.

This individual will be responsible for spearheading the design and implementation of AI-driven architectures across complex enterprise systems, fostering cutting-edge solutions that drive efficiency and deliver intelligent automation through AI/ML capabilities.

The ideal candidate will possess deep coding expertise in Python, .NET Core, Angular, and Azure, coupled with a strong architectural mindset to modernize platforms and craft innovative workflows.

Key Responsibilities:

  • Design and develop GenAI models for real-world applications (e.g., predictive analytics, document summarization, intelligent workflows).
  • Build scalable .NET Core Web APIs, Angular/React frontends, and Azure-native applications (Functions, Logic Apps, Azure SQL).
  • 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 (e.g., SonarQube, guidelines, IaC with Bicep/ARM).

Technical Skill Mandates:

  • Languages & Frameworks: Python (AI/LLM workflows, model integration), .NET Core (API development, cloud-native patterns), Angular (v13+) or React (TypeScript-based frontend development).
  • Cloud & AI: Microsoft Azure, Cognitive Services, AI Foundry, 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 & Experience:

  • A minimum of 5 years of experience in AI/ML architecture and cloud-native system design.
  • Proven ability to code, architect, and lead AI-powered solutions.
  • Bachelor's or Master's in Computer Science, Engineering, or related field.

Benefits:

  • Opportunity to lead GenAI strategy in a tech-forward organization.
  • Collaborative, agile environment focused on innovation and delivery.
  • Career development and learning opportunities in AI and cloud technologies.

What You'll Gain:

  • Hands-on experience with cutting-edge technologies.
  • Collaboration with cross-functional teams and stakeholders.
  • Opportunities for professional growth and development.


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