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Senior AI Architect (Project 2026)

Apex Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

We are on the brink of a technological renaissance. Apex Future Systems is building the foundational infrastructure for the year 2026 and beyond, and we need a visionary Senior AI Architect to lead our core engineering team. If you are passionate about pushing the boundaries of artificial intelligence and want to build systems that define the future, we want to hear from you.

As part of our 'Project 2026' initiative, you will define the architectural roadmap for our next-generation AI models, ensuring scalability, security, and performance at a global scale. This is a rare opportunity to shape the tech stack of the next decade.

Responsibilities

  • Architectural Leadership: Define and oversee the high-level design of our proprietary AI/ML infrastructure for the 2026 product release cycle.
  • System Design: Design scalable distributed systems and deep learning pipelines capable of processing petabytes of data in real-time.
  • Team Mentorship: Guide a team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Future-Proofing: Evaluate emerging technologies (e.g., quantum computing primitives, neuromorphic hardware) to integrate into our core stack.
  • Cross-Functional Collaboration: Work closely with product managers, researchers, and security experts to translate business requirements into technical solutions.
  • Performance Optimization: Drive initiatives to reduce latency and increase throughput of our inference engines.

Qualifications

  • Experience: 10+ years of software engineering experience, with at least 5 years in a Lead Architect or Principal Engineer role within AI/ML.
  • Technical Stack: Deep expertise in Python, C++, and modern frameworks like TensorFlow, PyTorch, or JAX.
  • System Design: Proven track record of designing fault-tolerant, high-availability systems using Kubernetes, AWS, or GCP.
  • Education: MS or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Leadership: Demonstrated ability to lead diverse engineering teams through complex, multi-year projects.
  • Communication: Exceptional verbal and written communication skills for technical and executive presentations.

Required Skills

Python C++ TensorFlow PyTorch System Design Kubernetes AWS Machine Learning Deep Learning Leadership Distributed Systems

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