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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect (2026 Roadmap)

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

Job Description

Are you ready to architect the future of intelligent systems? Apex Neural Systems is pioneering the next generation of Autonomous AI Agents and Agentic Workflows. As we prepare for our massive 2026 rollout, we are seeking a visionary Senior AI Architect to lead the technical design and implementation of our proprietary LLM infrastructure.

In this role, you won't just write code; you will define the paradigm of human-AI collaboration for the enterprise sector. You will work at the intersection of deep learning, distributed systems, and strategic product design.

Why Join Us?

  • Work on cutting-edge Agentic AI technologies.
  • Competitive equity package and top-tier benefits.
  • Flexible remote-first culture with HQ in the heart of San Francisco.

Responsibilities

  • Architectural Leadership: Design and implement scalable, fault-tolerant LLM architectures optimized for inference speed and cost-efficiency.
  • Agentic AI Development: Spearhead the development of autonomous AI agents capable of complex, multi-step reasoning and tool usage.
  • Model Optimization: Fine-tune and optimize open-source foundation models (e.g., Llama 3, Mistral) for specific enterprise verticals.
  • Research Integration: Stay ahead of the curve by integrating the latest research findings into production codebases.
  • Collaboration: Partner closely with product managers and data scientists to translate business requirements into technical blueprints.
  • Mentorship: Guide a team of junior engineers and data scientists, fostering a culture of innovation and technical excellence.

Qualifications

  • Education: MS or PhD in Computer Science, Mathematics, or a related field.
  • Experience: 5+ years of experience in building production-grade machine learning systems.
  • Technical Skills: Deep expertise in Python, PyTorch, or TensorFlow. Strong understanding of Large Language Models (LLMs) and Generative AI.
  • Tools: Proficiency in MLOps tools (Docker, Kubernetes, MLflow) and cloud platforms (AWS/GCP).
  • Problem Solving: Proven track record of solving complex engineering challenges in high-scale environments.
  • Communication: Excellent verbal and written communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow LLM GPT LangChain Docker Kubernetes AWS MLOps Machine Learning Deep Learning

Ready to Take This Challenge?

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

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