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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: 2026 Strategic Roadmap

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are defining the future of intelligent systems. Nexus Horizon Labs is seeking a visionary Lead AI Architect to spearhead our 2026 Strategic Roadmap. In this pivotal role, you will architect the next generation of generative AI and autonomous agents that will redefine industry standards.

As a key architect of our 2026 vision, you will bridge the gap between theoretical breakthroughs and scalable production systems. You will lead a world-class team of researchers and engineers, ensuring our technology stack is future-proof and aligned with the evolving landscape of Artificial Intelligence.

Why join us? We offer a competitive compensation package, equity, and the opportunity to work on projects that matter. If you are passionate about the future of AI and ready to lead the charge into 2026, we want to hear from you.

Responsibilities

  • Define the 2026 AI Architecture: Lead the design and implementation of a scalable, secure, and high-performance AI infrastructure tailored for next-gen applications.
  • Strategic Roadmap Execution: Translate high-level business goals into technical strategies that align with our 2026 vision and long-term product objectives.
  • Research & Development Leadership: Guide a team of ML engineers and data scientists in exploring cutting-edge models, including LLMs and reinforcement learning.
  • System Optimization: Oversee the deployment and optimization of AI models in production environments, focusing on latency, accuracy, and cost-efficiency.
  • Cross-Functional Collaboration: Partner with product managers, designers, and stakeholders to deliver innovative AI solutions that drive user engagement.
  • Talent Development: Mentor junior engineers and foster a culture of technical excellence, innovation, and continuous learning.

Qualifications

  • Education: Master’s or PhD in Computer Science, Machine Learning, or a related field.
  • Experience: 8+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture and leadership.
  • Technical Expertise: Deep proficiency in Python, PyTorch, TensorFlow, or JAX. Experience with distributed computing systems (Kubernetes, AWS/GCP/Azure) is required.
  • Strategic Vision: Proven track record of defining technical roadmaps and leading teams through complex architectural transitions.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.
  • Agile Mindset: Experience working in fast-paced, agile environments with a focus on rapid iteration and delivery.

Required Skills

Artificial Intelligence Machine Learning Python System Architecture Cloud Computing Leadership Generative AI NLP Distributed Systems

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