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Information Technology 🏢 Full Time ⭐️ Verified

Lead Architect: Vision 2026

Nexus Horizon
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are building the infrastructure for the future. Nexus Horizon is seeking a visionary Lead Architect: Vision 2026 to spearhead our next-generation technological roadmap. In this pivotal role, you will define the architectural standards for our AI-driven ecosystem, ensuring scalability, security, and forward-thinking innovation. If you are passionate about shaping the digital landscape of tomorrow, we want to hear from you.


Why Nexus Horizon?
• Work at the intersection of AI, Quantum Computing, and Sustainable Tech.
• Competitive equity package and top-tier benefits.
• Collaborative environment with industry leaders.

Responsibilities

  • Architectural Vision: Define and execute the technical roadmap for the 'Vision 2026' initiative, ensuring alignment with business goals.
  • System Design: Design scalable, high-performance distributed systems capable of handling next-gen data loads.
  • Team Leadership: Mentor a team of senior engineers and architects, fostering a culture of innovation and excellence.
  • R&D Leadership: Stay ahead of emerging technologies (AI, Blockchain, Quantum) and integrate them into our core infrastructure.
  • Cross-Functional Collaboration: Work closely with product managers, designers, and stakeholders to translate complex requirements into robust technical solutions.
  • Code Quality: Establish and enforce best practices for code reviews, documentation, and CI/CD pipelines.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Experience: 10+ years of experience in software architecture, with at least 5 years in a lead or senior engineering role.
  • Technical Stack: Deep expertise in Python, Go, or Rust; extensive experience with cloud platforms (AWS/Azure/GCP) and containerization (Kubernetes/Docker).
  • AI/ML Knowledge: Strong understanding of machine learning pipelines, NLP, and generative AI architectures.
  • Leadership: Proven track record of leading high-performing engineering teams through complex product launches.
  • Problem Solving: Exceptional analytical skills with a focus on solving unstructured problems in ambiguous environments.

Required Skills

System Architecture AI Machine Learning Cloud Computing Python Go Kubernetes Docker Microservices Quantum Computing Agile Leadership

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