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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Architect: 2026 Readiness

Apex Neural Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
12 Juli 2026
Deadline
12 Jul 2027

Job Description

We are seeking a visionary Lead AI Architect to define the technological landscape of the year 2026. In this pivotal role, you will bridge the gap between current AI capabilities and the future of autonomous systems.

As part of our 2026 Vision initiative, you will lead the design and implementation of scalable machine learning infrastructure, ensuring our platforms are future-proof for next-generation AI integration. You will work closely with cross-functional teams to deploy cutting-edge models and drive innovation.

Why Join Us?

  • Shape the future of technology with industry-leading AI.
  • Competitive compensation package and equity.
  • Flexible work environment and continuous learning opportunities.

If you are passionate about the evolution of Artificial Intelligence and want to build systems that will define the decade, we want to hear from you.

Responsibilities

  • Architectural Strategy: Lead the design of end-to-end AI infrastructure, ensuring scalability, security, and performance for the 2026 roadmap.
  • Model Development: Oversee the research and deployment of advanced machine learning models, including Generative AI and predictive analytics.
  • Team Leadership: Mentor a team of data scientists and engineers, fostering a culture of innovation and technical excellence.
  • Technical Governance: Establish coding standards, review architecture designs, and ensure best practices are followed across the organization.
  • Stakeholder Management: Communicate complex technical concepts to non-technical stakeholders and drive product vision.
  • Roadmap Execution: Collaborate with product managers to define technical requirements and deliver features on time.

Qualifications

  • Experience: 8+ years of experience in software engineering and 5+ years in AI/ML architecture.
  • Tech Stack: Proficiency in Python, TensorFlow, PyTorch, and cloud platforms (AWS/GCP/Azure).
  • Leadership: Proven track record of leading high-performing engineering teams.
  • Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
  • Problem Solving: Strong ability to solve complex technical problems and optimize system performance.
  • Communication: Excellent verbal and written communication skills.

Required Skills

Python TensorFlow PyTorch AWS Cloud Architecture Machine Learning Deep Learning Kubernetes System Design Agile Leadership

Ready to Take This Challenge?

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

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