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Next-Gen AI Architect | San Francisco, CA

Omni Horizon Dynamics
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are seeking a visionary Next-Gen AI Architect to lead the technological evolution of Omni Horizon Dynamics. As we prepare for the digital landscape of 2026 and beyond, you will design and implement cutting-edge artificial intelligence systems that redefine industry standards. This is an opportunity to shape the future of technology while working in a dynamic, high-performance environment.

Why Join Us?

  • Work on pioneering AI solutions that impact millions.
  • Competitive compensation package and equity options.
  • Flexible work environment with a focus on innovation.

Responsibilities

  • Architect Future-Proof Systems: Design scalable, secure, and high-performance AI infrastructure capable of handling next-generation data workloads.
  • Lead Technical Roadmaps: Define and execute the technical vision for AI initiatives, ensuring alignment with the company's 2026 strategic goals.
  • Model Optimization: Develop and fine-tune advanced machine learning models to improve accuracy, speed, and efficiency.
  • Cross-Functional Collaboration: Partner with product managers, data scientists, and engineering teams to integrate AI solutions seamlessly into core products.
  • Stay Ahead of Trends: Monitor emerging technologies and research papers to integrate breakthrough innovations into our development lifecycle.
  • Mentorship: Guide a team of talented engineers and researchers, fostering a culture of continuous learning and technical excellence.

Qualifications

  • Education: Master’s or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
  • Experience: 7+ years of professional experience in software engineering, with at least 3 years focused on AI/ML architecture.
  • Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and experience with distributed systems (Kubernetes, Docker).
  • Cloud Expertise: Deep understanding of cloud platforms (AWS, GCP, or Azure) and serverless architectures.
  • Leadership: Proven track record of leading technical teams and delivering complex projects on time.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

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

Ready to Take This Challenge?

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