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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision)

Apex Innovations Corp
San Francisco
Estimated Salary
USD 165.000 – USD 230.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are seeking a visionary Senior AI Architect to spearhead the development of next-generation artificial intelligence systems. As we look toward the technological landscape of 2026, this role requires a blend of deep technical expertise and strategic foresight to build scalable, ethical, and high-impact AI solutions.

In this position, you will define the architectural standards for our future products, integrating cutting-edge generative AI, autonomous agents, and predictive analytics. You will work in a fast-paced environment where innovation is not just encouraged—it is the standard. If you are passionate about shaping the future of tech and have a proven track record of leading complex technical initiatives, we want to hear from you.

Responsibilities

  • Architectural Leadership: Design and oversee the implementation of scalable AI and Machine Learning infrastructure aligned with our 2026 strategic vision.
  • Model Development: Lead the end-to-end development of Large Language Models (LLMs) and computer vision systems.
  • Technical Strategy: Define the technical roadmap for AI capabilities, ensuring they remain competitive and future-proof.
  • Cross-Functional Collaboration: Partner with product managers, engineers, and designers to integrate AI seamlessly into user experiences.
  • Team Mentorship: Mentor junior architects and engineers, fostering a culture of continuous learning and technical excellence.
  • R&D Innovation: Explore emerging technologies (e.g., Quantum Computing interfaces, Edge AI) to drive product differentiation.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 8+ years of software engineering experience, with at least 4 years in a senior AI/ML architecture role.
  • Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed systems (Kubernetes, Docker).
  • AI Expertise: Strong background in NLP, LLM fine-tuning, and MLOps pipelines.
  • Problem Solving: Demonstrated ability to solve complex, unstructured problems in ambiguous environments.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning MLOps Cloud Architecture NLP Generative AI System Design Kubernetes Docker

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