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Senior AI & Future Tech Lead (2026 Vision)

Apex Future Systems
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are seeking a visionary Senior AI Architect to spearhead our initiatives leading up to 2026. In this pivotal role, you will define the technical roadmap for integrating Generative AI, Agentic workflows, and Quantum-ready infrastructure into our core products.

Our mission is to build the technology that powers the next decade of human innovation. You will work in a collaborative, high-performance environment focused on ethical AI, scalability, and future-proofing our platform.

Responsibilities

  • Architect Future-Ready Solutions: Design and oversee the implementation of scalable AI architectures that integrate seamlessly with emerging technologies like Quantum Computing and Edge AI by 2026.
  • Lead R&D Initiatives: Drive research and development in Generative AI and LLM fine-tuning to create proprietary models.
  • Strategic Roadmapping: Collaborate with product and executive leadership to define the technical vision and milestones for the 2026 product release cycle.
  • Team Mentorship: Mentor a team of junior engineers and data scientists, fostering a culture of continuous learning and innovation.
  • Performance Optimization: Ensure system reliability and latency optimization for high-volume AI inference workloads.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
  • Experience: 8+ years of software engineering experience, with at least 3 years specifically in AI/ML architecture.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with LangChain or similar LLM orchestration frameworks.
  • Future Tech Knowledge: Understanding of emerging technologies relevant to the 2026 landscape, including Quantum algorithms or advanced Edge Computing.
  • Leadership: Proven track record of leading technical teams and managing cross-functional projects.

Required Skills

Python Machine Learning AI Architecture LLMs Quantum Computing PyTorch TensorFlow System Design Leadership Cloud Computing

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