Home Job Details
Q
Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision)

Quantum Leap Dynamics
Austin
Estimated Salary
USD 210.000 – USD 300.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Are you ready to architect the future? Quantum Leap Dynamics is seeking a visionary Senior AI Architect to spearhead our strategic roadmap for 2026 and beyond. In this pivotal role, you will define the technical DNA of our next-generation intelligence systems, ensuring scalability, ethics, and innovation in a rapidly evolving landscape.

We are looking for a thought leader who not only understands current AI paradigms but also anticipates the breakthroughs of tomorrow. You will collaborate with cross-functional teams to transform theoretical research into robust, production-ready solutions that set the industry standard for 2026.

Why Join Us?

  • Work on cutting-edge projects that define the future of technology.
  • Competitive compensation package and equity options.
  • Flexible remote-first policy with access to state-of-the-art facilities in Austin.

Responsibilities

  • Strategic Roadmapping: Lead the architectural vision for AI initiatives specifically targeting the 2026 product release cycle and beyond.
  • System Design: Design scalable, fault-tolerant machine learning pipelines and neural network architectures for high-traffic applications.
  • Technical Leadership: Mentor a team of brilliant engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Research Integration: Translate emerging research in deep learning and generative AI into practical, deployable codebases.
  • Performance Optimization: Drive the optimization of model inference speeds and resource utilization to meet enterprise-grade SLAs.
  • Compliance & Ethics: Ensure all AI systems adhere to the highest standards of data privacy, bias mitigation, and ethical AI usage.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 8+ years of professional experience in software engineering and machine learning architecture.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, or JAX; experience with distributed computing frameworks (Kubernetes, Spark).
  • Leadership: Proven track record of leading high-performing engineering teams and managing large-scale technical projects.
  • Problem Solving: Demonstrated ability to tackle complex, ambiguous problems with creative technical solutions.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Deep Learning Python PyTorch TensorFlow System Architecture Kubernetes Cloud Computing Leadership

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

Related Jobs

Similar job recommendations for you

View All