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Information Technology 🏒 Full Time ⭐️ Verified

Project 2026 Lead AI Architect

Nexus Horizon Corp
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to define the future of artificial intelligence? Nexus Horizon Corp is seeking a visionary Project 2026 Lead AI Architect to spearhead the development of our revolutionary generative AI suite. In this role, you will not just build models; you will architect the neural infrastructure for the next decade.

We are looking for a pioneer who thrives in ambiguity and possesses the technical prowess to turn ambitious concepts into scalable, production-ready solutions. Join a team where your work directly impacts the trajectory of technology in 2026 and beyond.

Responsibilities

  • Architectural Leadership: Design and implement the core architecture for Project 2026, ensuring scalability, security, and performance across distributed systems.
  • Team Management: Lead a high-performance team of AI researchers and engineers, fostering a culture of innovation and technical excellence.
  • Technical Roadmap: Define the technical vision and roadmap for the 2026 initiative, aligning technical deliverables with business goals.
  • Model Optimization: Drive the optimization of large language models (LLMs) and machine learning pipelines to achieve state-of-the-art accuracy.
  • Collaboration: Partner with cross-functional stakeholders including product managers, data scientists, and security experts to integrate AI solutions seamlessly.
  • R&D: Stay at the forefront of AI research, evaluating and integrating cutting-edge advancements into the Project 2026 framework.

Qualifications

  • Education: Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
  • Experience: 7+ years of experience in software engineering and at least 3 years in a leadership role within AI/ML.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with cloud platforms (AWS, GCP, or Azure).
  • AI Expertise: Deep understanding of transformer architectures, NLP, and generative AI models.
  • Leadership: Proven track record of leading engineering teams through complex, large-scale projects.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python PyTorch AWS GCP Leadership System Architecture

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