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Information Technology 🏢 Full Time ⭐️ Verified

Future-Ready AI Architect (2026 Vision)

Nexus Horizon Tech
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are seeking a visionary Future-Ready AI Architect to define the technological landscape for the year 2026 and beyond. At Nexus Horizon Tech, we are not just building for today; we are architecting the infrastructure of tomorrow.

In this high-impact role, you will be responsible for designing scalable, ethical, and revolutionary systems that bridge the gap between current AI capabilities and the future of generative intelligence, spatial computing, and quantum integration. You will lead a world-class team in translating futuristic concepts into robust, executable technical roadmaps.

Responsibilities

  • Architect and lead the technical strategy for the 2026 product roadmap, focusing on AGI (Artificial General Intelligence) integration.
  • Design fault-tolerant, high-performance distributed systems capable of handling exascale data workloads.
  • Establish and enforce architectural standards for security, scalability, and AI ethics across all engineering verticals.
  • Drive Proof of Concept (PoC) initiatives for emerging technologies, including quantum computing and neural interfaces.
  • Mentor senior engineers and foster a culture of innovation and continuous learning within the engineering department.
  • Collaborate closely with C-suite executives and product leads to align technical vision with business objectives.

Qualifications

  • 10+ years of experience in software architecture, with at least 5 years in a leadership role within AI or Machine Learning.
  • Deep expertise in Large Language Models (LLMs), Transformer architectures, and Deep Reinforcement Learning.
  • Proven track record of delivering complex, enterprise-grade technical solutions from concept to production.
  • Strong proficiency in Python, C++, and modern cloud infrastructure (AWS, GCP, or Azure).
  • Experience with MLOps pipelines, containerization (Docker/Kubernetes), and microservices architecture.
  • Exceptional communication skills with the ability to articulate complex technical strategies to diverse stakeholders.

Required Skills

Artificial Intelligence Machine Learning System Architecture Python Cloud Computing Kubernetes MLOps Generative AI

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