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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI & Future Tech Architect

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Are you ready to define the technological landscape of 2026? Nexus Horizon Labs is seeking a visionary Senior AI & Future Tech Architect to lead our next-generation infrastructure. We are building the systems that will power the autonomous and intelligent enterprises of tomorrow. In this role, you will bridge the gap between theoretical AI research and scalable production systems, ensuring our platforms are ready for the future of work.

Why Join Us?

  • Work on cutting-edge generative models and predictive algorithms.
  • Shape the architectural standards for a company focused on 2026 and beyond.
  • Competitive equity package and top-tier health benefits.

We are looking for a leader who isn't just comfortable with the future—they are building it.

Responsibilities

  • Architectural Vision: Design and oversee the implementation of scalable, fault-tolerant AI infrastructure tailored for high-volume, future-ready applications.
  • Model Optimization: Lead the research and deployment of Large Language Models (LLMs) and neural networks, optimizing for speed, accuracy, and energy efficiency.
  • Future-Proofing: Identify emerging AI trends and technologies to integrate into our core stack, ensuring the company remains a leader in the 2026 market landscape.
  • Cross-Functional Leadership: Collaborate with product managers, data scientists, and engineering teams to translate complex requirements into robust technical solutions.
  • Ethical AI Compliance: Establish and enforce best practices for AI ethics, bias mitigation, and data privacy in all new developments.
  • System Integration: Integrate AI capabilities with legacy systems and cloud ecosystems (AWS/Azure/GCP) to create seamless user experiences.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 8+ years of experience in software architecture, with at least 3 years specifically focused on AI/ML engineering.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or equivalent deep learning frameworks. Strong understanding of distributed systems and microservices.
  • Future Tech Savvy: Deep understanding of Generative AI, Reinforcement Learning, or Quantum Computing concepts (as applicable to 2026 roadmaps).
  • Leadership: Proven ability to mentor junior engineers and lead technical roadmaps.
  • Communication: Excellent verbal and written communication skills, capable of explaining complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python Deep Learning Cloud Architecture System Design Generative AI LLMs Kubernetes Docker

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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