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Lead AI Architect: Shaping the 2026 Future

NexaCore Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

We are on the precipice of a technological revolution. NexaCore Innovations is seeking a visionary Lead AI Architect to define the roadmap for our next-gen systems, specifically targeting the breakthroughs expected in 2026. If you have a passion for building the future of artificial general intelligence and want to lead a team of elite engineers, this is your opportunity.

Why Join Us?
We are not just building software; we are architecting the intelligence layer of the global economy. As we approach the 2026 era of advanced neural networks, we need a leader who can bridge the gap between theoretical research and scalable production.

Responsibilities

  • Define the 2026 AI Roadmap: Lead the strategic vision for our upcoming AI platforms, ensuring they are future-proof and scalable.
  • Architect Scalable Systems: Design and implement high-performance, fault-tolerant AI infrastructure capable of handling exabyte-scale data.
  • Research & Development: Stay at the forefront of emerging technologies (e.g., Quantum AI, Neuromorphic Computing) and integrate relevant advancements into our core stack.
  • Team Leadership: Mentor and grow a world-class engineering team, fostering a culture of innovation and technical excellence.
  • Stakeholder Collaboration: Translate complex technical concepts into actionable business strategies for executive leadership.
  • Performance Optimization: Continuously push the boundaries of latency and throughput for our core inference engines.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
  • Experience: 10+ years of experience in software engineering, with at least 5 years in a Lead Architect or Principal Engineer role.
  • Technical Mastery: Deep expertise in Python, C++, and distributed systems. Proven track record deploying Large Language Models (LLMs) and generative AI.
  • Strategic Mindset: Ability to anticipate industry trends and align technology with business goals for the 2026 timeframe.
  • Communication: Exceptional verbal and written communication skills, capable of presenting to technical and non-technical audiences.
  • Certifications: AWS Certified Solutions Architect or equivalent is a plus.

Required Skills

Python C++ Machine Learning Deep Learning Distributed Systems LLMs AI Strategy Kubernetes AWS PyTorch

Ready to Take This Challenge?

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