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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI & Future Systems Architect (2026 Roadmap)

Apex Innovation Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you a visionary engineer ready to define the technological landscape of 2026? Apex Innovation Labs is seeking a Senior AI & Future Systems Architect to lead our cutting-edge research and development division. In this pivotal role, you will be responsible for architecting scalable, future-proof AI systems that will power our operations well into the next decade.

We are looking for a leader who thrives on ambiguity and possesses the foresight to anticipate industry shifts. You will work closely with our C-suite executives and product teams to translate high-level strategic goals into tangible, technical roadmaps. If you are passionate about the intersection of artificial intelligence, machine learning, and long-term system design, we want to hear from you.

Responsibilities

  • Architect & Design: Lead the end-to-end design of complex AI and machine learning infrastructure, ensuring high availability, scalability, and security for the 2026 roadmap.
  • Strategic Roadmapping: Define and execute a long-term technical strategy aligned with company goals, identifying emerging technologies that will provide a competitive advantage.
  • Team Leadership: Mentor and lead a team of senior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Prototyping & Validation: Build high-fidelity prototypes to validate new concepts and technologies before full-scale implementation.
  • Stakeholder Management: Communicate complex technical concepts to non-technical stakeholders and executive leadership effectively.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (PhD preferred).
  • Experience: 8+ years of experience in software engineering, with at least 3 years in a lead architect or senior engineering role.
  • Technical Expertise: Proficiency in Python, Java, or C++, with deep experience in AI frameworks (TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP).
  • System Design: Proven track record of designing large-scale distributed systems and microservices architectures.
  • Soft Skills: Exceptional problem-solving skills and the ability to thrive in a fast-paced, dynamic environment.

Required Skills

Python Java C++ AI Machine Learning TensorFlow PyTorch AWS Azure System Design Cloud Computing Leadership

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