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Future-Ready AI Architect | 2026 Visionary Tech Lead

Apex Horizon Corp
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are on the forefront of innovation, building the digital infrastructure for the year 2026 and beyond. Apex Horizon Corp is seeking a visionary AI Architect to lead our next-generation generative intelligence systems. If you are passionate about shaping the future of technology, ethical AI, and scalable machine learning ecosystems, this is your opportunity to make history.


In this role, you will define the technical strategy for our AI initiatives, working alongside world-class engineers and data scientists to deploy models that redefine industry standards.

Responsibilities

  • Architect Design: Design and implement scalable, robust AI and machine learning architectures that support our long-term product vision.
  • Model Lifecycle: Oversee the end-to-end lifecycle of AI models, from data ingestion and training to deployment and continuous optimization.
  • Team Leadership: Mentor a team of top-tier data scientists and engineers, fostering a culture of innovation and technical excellence.
  • Strategic Roadmap: Define the technical roadmap for AI adoption, identifying emerging technologies and integrating them into our core systems.
  • Ethical AI: Ensure all AI systems adhere to strict ethical guidelines and regulatory standards to prevent bias and ensure transparency.
  • Cross-Functional Collaboration: Partner with product managers, security teams, and business stakeholders to align AI capabilities with business objectives.

Qualifications

  • Education: Master’s degree in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
  • Experience: Minimum of 7+ years of experience in software engineering, with at least 4 years specifically in AI/ML architecture.
  • Technical Expertise: Deep proficiency in Python, TensorFlow, PyTorch, and experience with Large Language Models (LLMs).
  • System Design: Strong background in cloud architecture (AWS, Azure, or GCP) and distributed systems.
  • Leadership: Proven track record of leading high-performance engineering teams and managing complex technical projects.
  • Soft Skills: Exceptional communication skills, with the ability to translate complex technical concepts into business value.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning System Design Cloud Computing AWS Azure Leadership Generative AI NLP

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