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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: 2026 Roadmap

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are on the precipice of a new technological era, and Nexus Future Systems is looking for a visionary Lead AI Architect to define our 2026 roadmap and beyond. You will not just be building systems; you will be architecting the intelligence that will power the next decade of global commerce.

In this pivotal role, you will lead a high-performance team of data scientists and engineers to build scalable, secure, and ethical AI infrastructure. You will bridge the gap between theoretical advancements and practical application, ensuring our platforms are ready for the rapid evolution of Generative AI and autonomous systems by 2026.

Why Join Us?
β€’ Work on cutting-edge projects that define the future of technology.
β€’ Competitive equity package and performance bonuses.
β€’ Flexible remote-first culture with state-of-the-art hubs in SF and Austin.

Responsibilities

  • Strategic Vision: Define and execute the technical roadmap for AI infrastructure, specifically targeting scalability and readiness for the 2026 market landscape.
  • System Architecture: Design and oversee the implementation of robust ML pipelines and distributed systems capable of handling petabyte-scale data.
  • Team Leadership: Mentor a diverse team of engineers and data scientists, fostering a culture of innovation, code quality, and continuous learning.
  • Model Development: Lead the research and development of advanced machine learning models, including LLMs and computer vision systems.
  • Cross-Functional Collaboration: Partner with product managers and stakeholders to translate business requirements into technical solutions.
  • Compliance & Ethics: Ensure all AI systems adhere to strict ethical guidelines and regulatory standards (e.g., GDPR, AI Act).

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related field from a top-tier university.
  • Experience: Minimum of 7 years of experience in software engineering and machine learning, with at least 3 years in a lead or architectural role.
  • Technical Stack: Deep expertise in Python, PyTorch/TensorFlow, and cloud platforms (AWS, GCP, or Azure).
  • Architecture: Proven track record designing scalable microservices and high-availability systems.
  • Future-Proofing: Strong understanding of emerging trends in AI, quantum computing, and edge AI relevant to the 2026 horizon.
  • Soft Skills: Exceptional communication skills with the ability to articulate complex technical concepts to non-technical audiences.

Required Skills

Python Machine Learning Deep Learning System Architecture AWS PyTorch Leadership Cloud Computing Generative AI

Ready to Take This Challenge?

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