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Senior AI Architect (2026 Roadmap)

Horizon Tech
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Architecting the Future: Join Horizon Tech

Are you ready to define the technology roadmap for 2026? Horizon Tech is looking for a visionary Senior AI Architect to lead our next-generation intelligence initiatives. In this role, you won't just be writing code; you will be designing the cognitive infrastructure of tomorrow.

We are a forward-thinking organization focused on long-term innovation, and we need a technical leader who can bridge the gap between theoretical AI capabilities and scalable, production-ready solutions.

Why Horizon Tech?

β€’ Impact: Shape the AI landscape for the next decade.
β€’ Innovation: Work on cutting-edge Large Language Models (LLMs) and generative AI.
β€’ Compensation: Competitive salary and equity package.

Responsibilities

  • Strategic Roadmap: Define the technical trajectory and architecture for AI systems targeted for deployment and evolution through 2026.
  • System Design: Lead the design of scalable, fault-tolerant distributed systems for high-volume data processing and machine learning inference.
  • Model Optimization: Oversee the fine-tuning and optimization of proprietary AI models to ensure low latency and high accuracy.
  • Team Leadership: Mentor a team of data scientists and engineers, fostering a culture of technical excellence and continuous learning.
  • Ethical AI: Implement frameworks to ensure AI systems are fair, transparent, and aligned with ethical standards.
  • Research Integration: Stay ahead of the curve by integrating emerging research into our core product offerings.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
  • Experience: 7+ years of experience in software engineering with a focus on AI/ML.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with cloud platforms (AWS, GCP, or Azure).
  • Architecture: Deep understanding of distributed systems, microservices, and high-availability architecture.
  • Leadership: Proven track record of leading engineering teams and delivering complex projects on time.
  • Future-Proof Mindset: Ability to anticipate technological shifts and adapt architectural strategies accordingly.

Required Skills

Python PyTorch TensorFlow Machine Learning NLP Cloud Architecture Distributed Systems Leadership AWS GCP

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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