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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior AI Architect: 2026 Roadmap

Apex Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Join the Future of Intelligence

Apex Horizon Labs is pioneering the next generation of artificial intelligence. We are looking for a visionary Senior AI Architect to define the technological roadmap for 2026 and beyond. If you are passionate about building scalable, ethical, and transformative AI systems that will redefine industry standards, we want to hear from you.

As part of our elite engineering team, you will not just write code; you will architect the cognitive infrastructure of tomorrow.

Responsibilities

  • Strategic Roadmapping: Define and lead the architectural vision for AI systems specifically tailored for 2026 deployment, focusing on scalability and future-proofing.
  • Model Development: Design and implement cutting-edge generative models and deep learning architectures to solve complex business problems.
  • MLOps Leadership: Establish and optimize MLOps pipelines to ensure seamless model training, deployment, and monitoring in production environments.
  • Technical Mentorship: Mentor junior engineers and data scientists, fostering a culture of innovation and excellence within the engineering department.
  • Cross-Functional Collaboration: Work closely with product managers, data scientists, and stakeholders to translate business goals into technical AI solutions.
  • Ethical AI Governance: Ensure all AI models adhere to strict ethical guidelines, data privacy standards, and bias mitigation protocols.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 8+ years of professional experience in machine learning engineering, with at least 3 years in a senior or lead architectural role.
  • Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, or JAX. Strong background in distributed computing and cloud infrastructure (AWS/GCP/Azure).
  • Tooling: Proficiency in MLOps tools such as MLflow, Kubeflow, or similar CI/CD pipelines.
  • Problem Solving: Proven track record of deploying high-impact AI models at scale.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Machine Learning Deep Learning Python PyTorch TensorFlow MLOps Cloud Computing AWS GCP Kubernetes Generative AI NLP Computer Vision System Architecture

Ready to Take This Challenge?

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