Technical Architect – Enterprise Applications

3 weeks ago

Thiruvananthapuram, India Quadance Technologies Full time

Job Summary:

We are seeking a highly skilled and experienced Technical Architect to lead the design and development of scalable, enterprise-grade applications and AI/ML solutions. The ideal candidate will have deep expertise in system architecture, hands-on experience with Python or C# .Net , and the ability to guide and mentor technical teams. This role involves client interaction, active participation in technical discussions, and solution designespecially for modern, AI-driven applications such as Retrieval-Augmented Generation (RAG) systems .

Key Responsibilities:

  • Lead the architectural design and development of enterprise-level applications and AI/ML solutions.
  • Collaborate with business and technical stakeholders to translate requirements into scalable and maintainable architectures.
  • Design and implement end-to-end solutions with a focus on performance, security, and maintainability.
  • Provide technical leadership and mentoring to development teams.
  • Conduct code reviews, enforce best practices, and ensure adherence to architectural standards.
  • Participate in technical discussions with client teams, providing guidance and strategic recommendations.
  • Oversee integration of AI/ML components, with a strong emphasis on RAG-based solutions.
  • Evaluate emerging technologies and drive innovation in architecture and solutioning.
  • Work closely with DevOps and QA teams to support CI/CD, automated testing, and deployment practices.

Required Skills and Qualifications:

  • 810 years of overall experience in software development and architecture.
  • Proven experience designing and building large-scale enterprise applications.
  • Proficient in either Python or C# .Net , with strong coding and debugging skills.
  • Solid understanding of architectural patterns (e.g., microservices, event-driven, layered architecture).
  • Hands-on experience with cloud platforms (e.g., AWS, Azure, or GCP).
  • Strong experience working with databases (SQL and NoSQL), APIs, and integration patterns.
  • Exposure to AI/ML solutions , especially RAG-based architectures (e.g., combining LLMs with vector databases, context-aware search).
  • Familiarity with vector databases like FAISS, Pinecone, or Weaviate.
  • Strong understanding of LLMs, embeddings, prompt engineering, and data pipelines.
  • Excellent communication and interpersonal skills.
  • Experience interacting with client stakeholders in technical discussions.
  • Ability to manage technical teams, assign tasks, and ensure high-quality deliverables.

Preferred Qualifications:

  • Experience with containerization (Docker, Kubernetes).
  • Exposure to MLOps and deployment of AI models in production.
  • Experience in Agile/Scrum methodologies.
  • Certifications in cloud architecture (AWS Solutions Architect, Azure Architect, etc.) or AI/ML will be a plus.



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