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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Architect - 2026 Suite

Apex Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

We are looking for a visionary Lead AI Architect to spearhead the engineering of the next generation 2026 Suite. As a critical member of our core team, you will define the architectural blueprint for our flagship AI platform, ensuring scalability, security, and cutting-edge performance. This is a rare opportunity to build the foundation of our product roadmap for the upcoming decade.

Why Join Us?

  • Work on the future of enterprise AI with a team of industry pioneers.
  • Competitive compensation and equity package.
  • Flexible remote-first culture with access to top-tier tech stack.

Responsibilities

  • Design and implement the core architecture for the 2026 Suite, focusing on high-performance AI processing and data throughput.
  • Lead a team of senior engineers and data scientists to deliver roadmap milestones on time and with exceptional quality.
  • Establish best practices for code quality, CI/CD pipelines, and infrastructure as code (IaC).
  • Conduct rigorous code reviews and architectural audits to ensure system integrity.
  • Collaborate with product managers to translate business requirements into technical solutions.
  • Drive innovation by researching and integrating emerging technologies into the 2026 ecosystem.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in a lead or architect role.
  • Deep expertise in Python, Java, or Go, with a focus on AI/ML frameworks.
  • Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker).
  • Experience with distributed systems, microservices architecture, and event-driven design.
  • Proven track record of leading high-stakes projects to successful completion.
  • Excellent communication skills with the ability to bridge the gap between technical and non-technical stakeholders.

Required Skills

Python Machine Learning Kubernetes AWS Microservices System Architecture Data Engineering

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