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Lead AI Architect (2026 Roadmap)

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

Job Description

Join the Architects of Tomorrow

Are you ready to define the technological landscape of 2026? Apex Horizon Solutions is seeking a visionary Lead AI Architect to spearhead our next-generation artificial intelligence initiatives. In this role, you won't just build models; you will architect the ethical, scalable, and revolutionary frameworks that will power our products for the next decade.

We are looking for a thought leader who understands the trajectory of AGI (Artificial General Intelligence) and can translate futuristic roadmaps into robust, production-grade code.

Responsibilities

  • Architect the 2026 Roadmap: Design the long-term technical strategy for our core AI systems, ensuring scalability and future-proofing against rapid technological shifts.
  • Model Development & Optimization: Lead the research and deployment of advanced Large Language Models (LLMs) and multimodal systems, optimizing for performance and inference speed.
  • Ethical AI Governance: Establish and enforce strict ethical guidelines and safety protocols for autonomous agents to prevent bias and ensure responsible AI deployment.
  • Technical Mentorship: Cultivate a world-class engineering culture by mentoring junior data scientists and senior engineers alike.
  • Cross-Functional Leadership: Collaborate with product managers, designers, and legal teams to integrate complex AI capabilities seamlessly into user experiences.
  • Infrastructure Scalability: Oversee the infrastructure required to support petabyte-scale data processing and high-availability AI services.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Mathematics, or a related field, with a focus on Machine Learning or AI.
  • Experience: 7+ years of professional experience in software engineering and AI development, with at least 3 years in a lead or architectural capacity.
  • Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Spark).
  • Algorithmic Mastery: Proven track record of implementing state-of-the-art algorithms, specifically in NLP, Computer Vision, or Reinforcement Learning.
  • Strategic Vision: Ability to analyze emerging trends in the tech industry and translate them into actionable technical strategies.
  • Communication: Exceptional ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP AI Architecture Kubernetes Distributed Systems Ethics in AI

Ready to Take This Challenge?

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