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Lead AI Architect - 2026 Roadmap

Apex Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Architect the Intelligence of Tomorrow.

Apex Future Systems is pioneering the next wave of autonomous intelligence. We are seeking a visionary Lead AI Architect to spearhead our strategic initiatives leading up to the 2026 deployment of our flagship generative ecosystem. You will not just write code; you will define the architectural principles that will power the future of enterprise automation.

Why This Role?
β€’ Be at the forefront of the AI revolution with a focus on long-term, high-impact research.
β€’ Collaborate with top-tier engineers and data scientists in a culture of innovation.
β€’ Competitive compensation package including stock options and comprehensive health benefits.

Responsibilities

  • Strategic Architecture: Design and oversee the implementation of scalable machine learning infrastructure and AI pipelines for the 2026 roadmap.
  • Model Governance: Establish best practices for model training, evaluation, and deployment to ensure reliability and fairness.
  • Team Leadership: Mentor junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
  • Technical Innovation: Evaluate and integrate emerging technologies (e.g., Transformer architectures, Reinforcement Learning) into core systems.
  • Cross-Functional Collaboration: Partner with product managers and stakeholders to translate complex AI capabilities into user-centric solutions.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
  • Experience: 8+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Technical Expertise: Deep proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Spark, Kubernetes).
  • Domain Knowledge: Proven track record of deploying Large Language Models (LLMs) or complex neural networks in production environments.
  • Soft Skills: Exceptional communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow MLOps Distributed Systems Machine Learning Architecture Kubernetes AWS

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