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Software Engineering šŸ¢ Full Time ā­ļø Verified

Senior Architect: 2026 Vision & AI Strategy

Apex Future Systems
Austin
Estimated Salary
USD 160.000 – USD 220.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are seeking a visionary Senior Architect to lead our strategic planning for the 2026 technological horizon. At Apex Future Systems, we are building the infrastructure that will power the next decade of innovation. You will be at the forefront of defining our long-term roadmap, integrating cutting-edge AI capabilities with scalable enterprise systems. If you have a passion for shaping the future and a proven track record of architecting robust, scalable solutions, we want to meet you.


Why Join Us?
• Shape the 2026 Vision: Define the core architectural pillars that will drive our company for the next five years.
• High-Impact Work: Collaborate with top-tier engineers to deploy state-of-the-art solutions.
• Competitive Package: Enjoy a comprehensive benefits package including equity and health coverage.

Responsibilities

  • Define the 2026 Roadmap: Lead the strategic architectural planning to ensure our technology stack remains future-proof for the 2026 market cycle.
  • System Design: Architect complex, distributed systems that integrate Generative AI and Machine Learning capabilities.
  • Technical Leadership: Mentor a team of senior engineers, conducting code reviews and architectural discussions to ensure best practices.
  • Cloud Infrastructure: Oversee the migration and optimization of our cloud-native infrastructure on AWS and Azure.
  • Innovation Implementation: Identify and prototype emerging technologies that will provide a competitive advantage by 2026.
  • Cross-Functional Collaboration: Work closely with product managers and stakeholders to translate business goals into technical architecture.

Qualifications

  • Experience: 8+ years of experience in software architecture, with at least 3 years in a leadership or architect role.
  • Tech Stack: Deep expertise in Python, Go, or Java, and experience with cloud platforms (AWS/Azure/GCP).
  • AI/ML Knowledge: Strong understanding of AI integration patterns and large language model (LLM) deployment strategies.
  • Strategic Thinking: Proven ability to think long-term and design systems that scale efficiently.
  • Communication: Excellent verbal and written communication skills, capable of articulating complex technical concepts to non-technical stakeholders.
  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Required Skills

System Architecture Generative AI Machine Learning Cloud Computing AWS Azure Python Go Leadership Strategic Planning

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