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Senior Future Tech Architect (2026 Stack)

Apex Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are looking for a visionary Senior Future Tech Architect to lead the development of our proprietary 2026 Technology Stack. At Apex Future Systems, we are not just building software; we are architecting the infrastructure for the next era of human-computer interaction. You will work on cutting-edge projects involving Agentic AI, Neuromorphic Computing, and Decentralized Web3 Integration. This is an opportunity to define the technical roadmap for a company at the forefront of innovation.

Why Join Us?

  • Work on revolutionary technology that will define the 2026 landscape.
  • Competitive equity package and top-tier compensation.
  • Flexible remote-first culture with a central hub in San Francisco.

Responsibilities

  • Architectural Leadership: Design and oversee the implementation of robust, scalable, and secure systems utilizing the 2026 technology stack.
  • AI Integration: Lead the integration of advanced Agentic AI models into core product workflows.
  • System Optimization: Drive performance improvements and efficiency gains across distributed cloud infrastructure.
  • Tech Strategy: Evaluate emerging technologies (Quantum computing, Edge AI) and define their role in our roadmap.
  • Team Mentorship: Mentor junior engineers and conduct code reviews to maintain high technical standards.
  • Cross-Functional Collaboration: Work closely with product managers and designers to translate complex requirements into technical solutions.

Qualifications

  • Experience: 7+ years of professional software engineering experience, with at least 3 years in a senior architectural role.
  • Core Stack: Deep proficiency in Python, Rust, and modern JavaScript/TypeScript.
  • AI/ML: Strong understanding of Machine Learning pipelines, LLMs (Large Language Models), and RAG (Retrieval-Augmented Generation) architectures.
  • Cloud: Extensive experience with AWS or GCP, including containerization with Docker and Kubernetes.
  • Problem Solving: Demonstrated ability to solve complex technical problems and architect for future scalability.
  • Education: Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred).

Required Skills

Python Rust Kubernetes AWS AI/ML System Architecture Machine Learning Docker TypeScript

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