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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Architect: 2026 Roadmap

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

We are Nexus Horizon Labs, a pioneer in futuristic technology, seeking a visionary Lead AI Architect to define the infrastructure for the year 2026 and beyond. In this pivotal role, you will not just build systems; you will architect the future of intelligent automation.

If you are passionate about the intersection of deep learning, scalable systems, and long-term strategic planning, we want to hear from you. Join us in building the next generation of AI solutions that will redefine industry standards.

Responsibilities

  • Define the 2026 AI Roadmap: Lead the strategic vision for our AI initiatives, identifying emerging technologies and trends to ensure our platforms remain ahead of the curve.
  • Architect Scalable Systems: Design and implement robust, fault-tolerant machine learning pipelines and neural network architectures capable of handling massive data throughput.
  • Technical Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation, code excellence, and continuous learning.
  • Model Optimization: Oversee the training, fine-tuning, and deployment of large language models (LLMs) and generative AI agents to maximize performance and efficiency.
  • Cross-Functional Collaboration: Partner with product managers and engineering leads to translate complex business requirements into elegant technical solutions.
  • Research & Development: Stay at the cutting edge of AI research, evaluating and integrating new frameworks to drive competitive advantage.

Qualifications

  • Experience: 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture and leadership.
  • Tech Stack: Deep proficiency in Python, TensorFlow, PyTorch, and experience with Kubernetes and cloud-native architectures (AWS/GCP).
  • Strategic Mindset: Proven track record of defining long-term technical roadmaps and executing on complex multi-year visions.
  • Education: Bachelor’s degree in Computer Science, Mathematics, or a related field; Master’s degree or PhD is a plus.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.
  • Problem Solving: Demonstrated ability to solve ambiguous problems and drive technical debt reduction while scaling.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Cloud Architecture Kubernetes AWS GCP System Design AI Strategy Leadership

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