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Senior AI Architect (2026 Roadmap)

Apex Future Systems
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to define the technology roadmap for 2026?

Apex Future Systems is seeking a visionary Senior AI Architect to lead the charge in building next-generation, self-evolving AI ecosystems. We aren't just building software for today; we are architecting the infrastructure that will power the enterprise of tomorrow.

In this pivotal role, you will bridge the gap between theoretical AI research and production-grade engineering, ensuring our platforms remain at the cutting edge of the industry.

Responsibilities

  • Strategic Roadmapping: Define the technical vision and architectural strategy for AI initiatives, specifically targeting 2026 scalability and sustainability goals.
  • System Design: Design and oversee the implementation of complex distributed systems, focusing on LLM orchestration and Agentic AI workflows.
  • Performance Optimization: Drive technical excellence by optimizing latency, throughput, and cost-efficiency in large-scale machine learning models.
  • Leadership & Mentorship: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Cross-Functional Collaboration: Partner with Product Managers and Engineering leads to translate business requirements into robust technical solutions.
  • R&D Integration: Evaluate and integrate emerging technologies (e.g., Quantum-ready algorithms, Neuromorphic computing concepts) into our core stack.

Qualifications

  • Experience: 8+ years of experience in software engineering and at least 4 years specifically in AI/ML architecture.
  • Technical Stack: Deep proficiency in Python, C++, or Rust; extensive experience with TensorFlow, PyTorch, or JAX.
  • Cloud Mastery: Expert-level experience deploying and managing AI workloads on AWS, GCP, or Azure.
  • Problem Solving: Demonstrated ability to solve complex, ambiguous problems at scale with innovative architectural patterns.
  • Education: BS, MS, or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Communication: Exceptional ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning System Architecture Python Cloud Computing AWS GCP MLOps LLMs Deep Learning

Ready to Take This Challenge?

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