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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect: Shaping the 2026 Tech Landscape

Apex Innovations
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are seeking a visionary Senior AI Architect to spearhead our technological evolution and define our roadmap for the 2026 landscape. In this high-impact role, you will bridge the gap between theoretical AI research and production-grade engineering, ensuring our solutions are scalable, secure, and future-ready.

At Apex Innovations, we believe in building the future today. You will work with cross-functional teams of engineers, data scientists, and product managers to architect systems that leverage Large Language Models (LLMs) and autonomous agents.

Responsibilities

  • Architectural Leadership: Design and oversee the development of robust, scalable AI infrastructure and machine learning pipelines.
  • Roadmap Strategy: Define the technical vision and roadmap for 2026, focusing on GenAI integration and edge computing.
  • Model Optimization: Collaborate with data scientists to fine-tune models for latency, accuracy, and cost-efficiency in production environments.
  • Technical Mentorship: Mentor a team of junior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • System Integration: Integrate AI capabilities into existing SaaS products, enhancing user experience and operational efficiency.
  • Security & Compliance: Ensure all AI systems adhere to strict data privacy and security standards (GDPR, SOC2).

Qualifications

  • Experience: 8+ years of experience in software engineering with a focus on Machine Learning and Artificial Intelligence.
  • Technical Stack: Proficiency in Python, TensorFlow, PyTorch, and modern cloud platforms (AWS, GCP, or Azure).
  • Architecture: Strong understanding of distributed systems, microservices, and database design.
  • AI Expertise: Deep knowledge of NLP, Computer Vision, or Reinforcement Learning with practical implementation experience.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Required Skills

Artificial Intelligence Machine Learning Python Cloud Architecture GenAI TensorFlow PyTorch Leadership

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