Lead Architect

This role is for a Lead Architect on an AI & Engineering team focused on transforming technology platforms and driving innovation for clients. The architect will design and deploy enterprise-grade applications using Cloud Native principles on hyperscaler platforms, leveraging GenAI tools to accelerate the software development lifecycle. A deep understanding of AI/ML concepts, including LLMs in enterprise settings, is required, along with hyperscaler architect certification.

What you'd actually do

  1. Architect and Design: Lead the design and development of enterprise-grade application architecture applications and platforms, with a focus on scaling for production. This includes defining the technical architecture, selecting appropriate technologies, and ensuring solutions are robust, scalable, and secure.
  2. Design and deploy applications using Cloud Native principles on a hyperscaler platform (AWS, Azure, GCP). Leverage a wide range of hyperscaler tools and services, including containers (Docker, Kubernetes), serverless functions, and managed databases. Should have experience in leveraging various GenAI tools to accelerate software development life cycle.
  3. Manage day-to-day interactions with executive clients and sponsors
  4. Manage and deliver components of client engagements that identify, design, and implement technology and creative business solutions for large companies.
  5. Responsibilities include, among others, managing teams in the identification of business requirements, functional design, process design (including scenario design, flow mapping), prototyping, testing, training, defining support procedures.

Skills

Required

  • Java
  • Python
  • .NET
  • AI/ML concepts
  • LLMs
  • hyperscaler tools and services
  • Hyperscaler Architect certification
  • CI/CD
  • DevSecOps

Nice to have

  • architecture design patterns
  • MVP
  • MVC
  • Gang of Four
  • JQuery
  • JavaScript
  • cloud solutions on Amazon Web Services (AWS)
  • Microsoft Azure
  • Google Cloud Platform
  • System Testing
  • Integration Testing
  • Performance Testing

What the JD emphasized

  • scaling for production
  • Deep understanding of AI/ML concepts, including experience with LLMs and their application in enterprise settings
  • Hyperscaler Architect certification is required

Other signals

  • architect and design enterprise-grade applications
  • deploy applications using Cloud Native principles
  • leveraging various GenAI tools to accelerate software development life cycle
  • Deep understanding of AI/ML concepts, including experience with LLMs and their application in enterprise settings