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Information Technology 🏒 Full Time ⭐️ Verified

AI Architect: 2026 Roadmap & Infrastructure Specialist

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juni 2026
Deadline
2 Jun 2027

Job Description

Are you ready to architect the future? Nexus Future Systems is seeking a visionary AI Architect: 2026 Roadmap Specialist to lead the technological evolution of our enterprise infrastructure. In this pivotal role, you will define the blueprint for our 2026 technology stack, integrating cutting-edge Agentic AI, quantum-ready cloud architectures, and next-gen neural networks.

We are not just looking for a developer; we are looking for a strategic leader who can bridge the gap between theoretical AI potential and scalable, real-world implementation. If you thrive in a high-velocity environment and are passionate about shaping the digital landscape of tomorrow, we want to meet you.

Why Join Nexus Future Systems?

  • Future-Ready Tech Stack: Work with the latest in Generative AI, Edge Computing, and 6G Network architecture.
  • Competitive Compensation: Earn a top-tier salary with performance-based bonuses.
  • Flexible Work Environment: Hybrid model supporting innovation and work-life balance.

Responsibilities

  • Define the 2026 Vision: Lead the strategic architectural planning to integrate Agentic AI workflows into core business operations.
  • System Design: Architect scalable, fault-tolerant distributed systems capable of handling high-throughput data streams.
  • Quantum-Ready Infrastructure: Design cloud architectures that are prepared for the transition to quantum computing and post-quantum cryptography.
  • Lead & Mentor: Guide a team of senior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Security First: Implement robust security protocols and AI governance frameworks to protect sensitive data assets.
  • Performance Optimization: Continuously monitor and optimize system latency, throughput, and resource utilization.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 10+ years of experience in software architecture, with at least 5 years focused on AI and Machine Learning systems.
  • Technical Proficiency: Deep expertise in Python, TensorFlow, PyTorch, and Kubernetes.
  • Architecture Skills: Proven track record designing microservices and serverless architectures on AWS, Azure, or GCP.
  • Agentic AI: Experience building autonomous agents and workflow automation systems.
  • Communication: Exceptional ability to translate complex technical concepts into business value for stakeholders.

Required Skills

Artificial Intelligence Machine Learning Cloud Architecture Kubernetes Python TensorFlow Microservices Agentic AI Quantum Computing AWS System Design Leadership

Ready to Take This Challenge?

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