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Information Technology 🏢 Full Time ⭐️ Verified

Lead Architect: 2026 Horizon Initiative - San Francisco, CA

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are seeking a visionary Lead Architect to spearhead the 2026 Horizon Initiative, a revolutionary project aimed at deploying autonomous, sustainable AI infrastructure for the next decade. In this role, you will design scalable systems that bridge the gap between current capabilities and the technological demands of 2026 and beyond. You will work at the intersection of deep learning, quantum computing, and edge deployment, ensuring our solutions are robust, secure, and future-proof.

Why join Nexus Future Systems?

  • Impactful Work: Build the foundational architecture for the systems that will define the next era of technology.
  • Competitive Compensation: Base salary of $180k - $260k plus performance bonuses and equity.
  • Flexible Environment: Hybrid work model based out of our SF headquarters.
  • Top-Tier Team: Collaborate with PhDs, former NASA engineers, and industry veterans.

Responsibilities

  • Design and implement the core microservices architecture for the 2026 Horizon Initiative, ensuring high availability and scalability.
  • Lead the migration of legacy systems to next-gen edge computing environments.
  • Define technical standards and best practices for AI model deployment and monitoring.
  • Collaborate with cross-functional teams (Data Science, Product, Security) to translate business requirements into technical blueprints.
  • Conduct rigorous code reviews and architectural assessments to mitigate risks in real-time.
  • Stay ahead of emerging technologies to ensure our 2026 roadmap remains competitive.

Qualifications

  • 10+ years of experience in software architecture, with a focus on AI/ML systems.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
  • Strong understanding of cloud-native architecture (AWS, Azure, or GCP).
  • Proven track record of leading large-scale technical projects from conception to deployment.
  • Excellent communication skills, capable of articulating complex technical concepts to stakeholders.
  • Experience with cybersecurity best practices in AI environments.

Required Skills

Python Machine Learning System Architecture Cloud Computing Distributed Systems TensorFlow PyTorch AWS Agile Methodologies

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