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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Lead AI Architect: 2026 Horizon

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

Job Description

We are seeking a visionary Lead AI Architect to define the technological roadmap for the year 2026 and beyond. At Nexus Future Systems, we are building the infrastructure for tomorrow, focusing on scalable, autonomous, and intelligent systems. You will be at the forefront of engineering breakthroughs, ensuring our platforms are future-proof and capable of handling the complex demands of the next decade. If you are passionate about pushing the boundaries of what is possible with Artificial Intelligence and Machine Learning, we want to hear from you.

Responsibilities

  • Architect Future-Ready Solutions: Design and implement scalable machine learning architectures specifically tailored for the 2026 technology landscape, focusing on efficiency and resilience.
  • Strategic Roadmap Planning: Lead the technical strategy for integrating next-gen AI capabilities, anticipating industry shifts and preparing systems for long-term scalability.
  • Model Optimization: Oversee the training, fine-tuning, and deployment of Large Language Models (LLMs) and generative AI systems to ensure high performance and low latency.
  • Cross-Functional Leadership: Collaborate with product, engineering, and data science teams to translate complex business requirements into robust technical solutions.
  • R&D Leadership: Spearhead research initiatives into emerging AI paradigms, including reinforcement learning and edge computing applications.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field from a top-tier university.
  • Experience: 7+ years of professional experience in software engineering and machine learning, with at least 3 years in a senior or lead architectural role.
  • Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Kubernetes, Ray).
  • Domain Knowledge: Proven track record in deploying NLP, Computer Vision, or Recommendation Systems at scale.
  • Soft Skills: Exceptional communication skills with the ability to articulate complex technical concepts to non-technical stakeholders and mentor junior engineers.

Required Skills

Python PyTorch TensorFlow Machine Learning NLP Cloud Architecture Kubernetes MLOps AI Strategy Distributed Systems

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