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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Architect: 2026 Roadmap Initiative

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
10 Juli 2026
Deadline
10 Jul 2027

Job Description

We are on a mission to define the technological landscape of the year 2026. Nexus Horizon Labs is seeking a visionary Lead AI Architect to spearhead our next-generation infrastructure projects. In this pivotal role, you will bridge the gap between theoretical AI advancements and practical, scalable engineering solutions that will power our products for the next decade.

As a key member of our executive engineering team, you will be responsible for architecting robust neural networks, optimizing deep learning pipelines, and guiding our engineering squad through the rapidly evolving tech stack of the future. If you are passionate about building the foundation for tomorrow’s technology today, we want to hear from you.

Responsibilities

  • Architect Future-Proof Systems: Design and implement scalable AI architectures that align with the 2026 technology roadmap, focusing on predictive modeling and generative AI.
  • Lead Technical Strategy: Define the technical vision for AI integration across all product lines, ensuring high performance, security, and ethical AI standards.
  • Team Leadership & Mentorship: Mentor junior engineers and data scientists, fostering a culture of innovation, continuous learning, and technical excellence.
  • Research & Development: Stay at the forefront of emerging technologies (e.g., quantum computing interfaces, advanced NLP) and evaluate their potential application in our ecosystem.
  • Cross-Functional Collaboration: Work closely with product managers, designers, and stakeholders to translate complex AI capabilities into user-centric features.
  • Optimization & Deployment: Oversee the deployment of models on cloud infrastructure, ensuring minimal latency and maximum throughput.

Qualifications

  • Education: Master’s or PhD in Computer Science, Machine Learning, or a related field (or equivalent practical experience).
  • Experience: 8+ years of experience in software engineering, with at least 4 years in senior leadership or architecture roles within the AI/ML domain.
  • Technical Expertise: Deep proficiency in Python, TensorFlow, PyTorch, and C++. Experience with distributed computing systems (Kubernetes, Docker) is required.
  • Strategic Mindset: Proven track record of defining long-term technical roadmaps and executing them successfully.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
  • Problem Solving: Demonstrated ability to solve ambiguous problems and innovate under tight deadlines.

Required Skills

Python TensorFlow PyTorch Kubernetes Docker Machine Learning Deep Learning Cloud Architecture System Design Leadership SQL AWS

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