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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Roadmap

Apex Future Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Are you ready to architect the next generation of Artificial Intelligence? Apex Future Technologies is seeking a visionary Senior AI Architect to lead our strategic roadmap toward 2026 and beyond.

We are building the infrastructure for tomorrow's Generative AI and Autonomous Systems. In this pivotal role, you will bridge the gap between theoretical breakthroughs and scalable production systems, ensuring our platforms remain at the cutting edge of the industry. If you thrive in a high-performance environment and want to define the future of tech, we want to hear from you.

Why Join Us?

  • Work on groundbreaking projects that shape the 2026 technological landscape.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with a premium office in downtown San Francisco.
  • Access to the latest hardware and cloud infrastructure.

Responsibilities

  • Architect & Design: Design and deploy scalable, high-availability AI architectures for next-generation LLMs and neural networks.
  • Strategy: Define the technical roadmap and architecture strategy for the 2026 product suite.
  • Optimization: Lead initiatives to optimize model inference speeds and reduce latency across distributed systems.
  • Collaboration: Partner with cross-functional teams (Data Science, Engineering, Product) to translate business requirements into technical solutions.
  • Best Practices: Establish and enforce industry-standard coding, security, and MLOps practices.
  • Research: Stay abreast of the latest advancements in AI research and evaluate their applicability to our products.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 7+ years of experience in software engineering and 3+ years in AI/ML architecture.
  • Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Docker).
  • Soft Skills: Exceptional problem-solving abilities and the ability to communicate complex technical concepts to non-technical stakeholders.
  • Leadership: Proven track record of leading technical teams and managing large-scale projects.
  • Agile: Experience working in Agile/Scrum environments.

Required Skills

Artificial Intelligence Machine Learning Python PyTorch TensorFlow MLOps Kubernetes System Design Distributed Systems NLP Deep Learning

Ready to Take This Challenge?

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