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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI & Future Tech Architect

NovaCore Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to architect the future of technology? NovaCore Systems is seeking a visionary Senior AI & Future Tech Architect to lead our next generation of intelligent systems. As we push the boundaries of what's possible in 2026 and beyond, you will be at the forefront of integrating advanced Artificial Intelligence with emerging quantum technologies.

In this pivotal role, you will define the technical roadmap for our AI initiatives, ensuring scalability, security, and innovation. You will work with a world-class team of engineers and data scientists to build systems that don't just meet today's needs but anticipate tomorrow's challenges.

Responsibilities

  • Architect and design scalable AI/ML infrastructure tailored for future workloads.
  • Lead the integration of quantum computing concepts into current AI workflows where applicable.
  • Mentor senior engineers and architects, fostering a culture of innovation and technical excellence.
  • Collaborate with cross-functional product teams to translate complex business requirements into technical specifications.
  • Stay ahead of industry trends, specifically focusing on advancements relevant to the 2026 tech landscape.
  • Optimize existing models for latency, throughput, and energy efficiency.
  • Implement robust security protocols for data integrity in AI systems.

Qualifications

  • 10+ years of experience in software engineering, with a minimum of 5 years in AI/ML architecture.
  • Deep understanding of Machine Learning algorithms, Deep Learning frameworks (TensorFlow, PyTorch), and NLP.
  • Experience with cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes).
  • Strong grasp of quantum computing fundamentals and future-proofing strategies.
  • Bachelor’s degree in Computer Science, Mathematics, or a related field (Master’s preferred).
  • Proven track record of leading high-performance engineering teams.
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, dynamic environment.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch Quantum Computing System Architecture Cloud Computing Kubernetes AWS Leadership AI Strategy

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