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Senior AI & Data Architect (2026 Visionary)

Apex Future Systems
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Are you ready to architect the future of intelligence for the year 2026 and beyond? Apex Future Systems is seeking a visionary Senior AI & Data Architect to lead the development of next-generation autonomous systems and predictive intelligence platforms. As we prepare for the AI revolution of 2026, you will define the architectural backbone of our global operations, ensuring our solutions are scalable, ethical, and transformative.


In this role, you won't just build software; you will shape the trajectory of technology. We are looking for a leader who thrives in ambiguity and possesses the technical prowess to turn futuristic concepts into production-ready reality.

Responsibilities

  • Architect Scalable AI Solutions: Design and implement robust, high-availability machine learning pipelines and data architectures capable of processing petabytes of real-time data.
  • Lead Strategic Innovation: Drive the adoption of cutting-edge technologies (GenAI, LLMs, Quantum-ready algorithms) to stay ahead of industry trends leading into 2026.
  • Cross-Functional Leadership: Mentor a team of data scientists and engineers, fostering a culture of technical excellence and continuous learning.
  • Data Governance & Ethics: Establish comprehensive data governance frameworks and ethical AI guidelines to ensure responsible deployment of intelligence systems.
  • Performance Optimization: Continuously monitor system performance, optimizing models for speed, accuracy, and energy efficiency.

Qualifications

  • Education: Master’s degree in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
  • Experience: 7+ years of experience in software engineering, data science, or machine learning architecture.
  • Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
  • Cloud Mastery: Proven experience architecting solutions on AWS, Azure, or GCP with a focus on serverless and microservices.
  • Leadership: Demonstrated ability to lead high-performing teams and manage complex technical projects from conception to deployment.
  • Problem Solving: Exceptional analytical skills with a track record of solving complex, unstructured problems.

Required Skills

Python TensorFlow PyTorch AWS Azure Machine Learning Data Architecture System Design AI Strategy

Ready to Take This Challenge?

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