Solution Architect

• Design and develop end-to-end technical architectures for complex applications and enterprise solutions.

• Provide effective technical solutions to business and engineering challenges.

• Take an active role in software development and guide the team on technical implementation.

• Define architecture, technology stack, design patterns, coding standards, and best practices.

• Lead the development of Full Stack applications across frontend, backend, databases, APIs, and cloud environments.

• Identify opportunities to integrate AI/ML and Generative AI into products and business solutions.

• Stay updated with the latest technologies, frameworks, tools, and industry trends and evaluate their applicability.

• Lead, mentor, and technically guide development teams.

• Review code, architecture, and technical designs to ensure quality, scalability, security, and maintainability.

• Collaborate with product managers, business stakeholders, and engineering teams to understand requirements and translate them into technical solutions.

• Identify technical risks and provide appropriate solutions and mitigation strategies.

• ******Drive technical innovation and continuously improve development and architecture practices.

  Requirements Required Skills Qualifications

  • 10+ years of professional experience in software development and architecture.
  • Strong hands-on experience in software development with a proven development background.
  • Proven experience in Solution Architecture and System Architecture .
  • Strong expertise in Full Stack Development .
  • Strong knowledge of AI/ML, Generative AI, LLMs, and AI-based application development .
  • Strong understanding of microservices, REST APIs, databases, cloud technologies, and distributed systems .
  • Experience in designing scalable, secure, and high-performance applications .
  • Strong knowledge of modern development frameworks, architecture patterns, and DevOps practices.
  • Ability to evaluate and adopt new and emerging technologies .
  • Excellent problem-solving and analytical skills.
  • Strong leadership, communication, mentoring, and team management skills.
  • ******Ability to make sound technical decisions and provide practical solutions to complex problems.
    Preferred
    • Experience with AWS, Azure, or GCP .
    • Experience with Docker, Kubernetes, CI/CD, and cloud-native architectures .
    • Experience implementing AI solutions using modern AI/ML frameworks and LLM platforms.
    • Experience working in Agile/Scrum environments.************

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