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Information Technology 🏢 Full Time ⭐️ Verified

Senior Architect: 2026 Readiness & AI Infrastructure

Aether Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

We are looking for a visionary Senior Architect to lead the technical roadmap for the year 2026. At Aether Dynamics, we are not just building software; we are engineering the future. You will be at the forefront of integrating next-gen AI, predictive analytics, and scalable cloud architectures to prepare our ecosystem for the digital evolution of 2026.

If you are a thought leader who thrives on ambiguity and wants to define the standards of tomorrow, this is your opportunity to leave a lasting legacy.

Responsibilities

  • Define the 2026 Technical Roadmap: Architect and oversee the strategic implementation of technologies that will define our operations in the year 2026.
  • AI & Machine Learning Integration: Lead the integration of advanced AI models into our core infrastructure to enhance efficiency and user experience.
  • System Scalability: Design fault-tolerant, scalable systems capable of handling exponential growth in data volume and user traffic.
  • Legacy Modernization: Oversee the migration of legacy systems to modern microservices architectures.
  • Technical Leadership: Mentor a high-performing team of engineers and architects, fostering a culture of innovation and technical excellence.
  • Stakeholder Collaboration: Translate complex technical visions into actionable strategies for C-level executives and product managers.

Qualifications

  • Strategic Vision: Proven experience in defining long-term technical strategies (5+ year outlook) with a specific focus on upcoming industry standards.
  • Cloud Expertise: Deep proficiency in AWS, Azure, or Google Cloud Platform (GCP) with a focus on serverless and containerized architectures.
  • AI & Data: Strong background in machine learning pipelines, data engineering, and large language model (LLM) integration.
  • Leadership: Demonstrated ability to lead and mentor cross-functional engineering teams.
  • Education: Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred.
  • Certifications: AWS Solutions Architect Professional or equivalent certifications are a plus.

Required Skills

Cloud Architecture AI/ML System Design AWS Microservices Leadership Python Java Kubernetes Strategic Planning

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