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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision)

Nexus Horizon Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are seeking a visionary Senior AI Architect to define the technological landscape of 2026 and beyond. At Nexus Horizon Solutions, we are building the infrastructure for the next generation of intelligent systems. You will lead the charge in integrating cutting-edge AI models into scalable enterprise solutions, ensuring our platforms remain at the forefront of innovation for years to come.

Why Join Us?

  • Work on groundbreaking projects that shape the future of technology.
  • Competitive compensation package with equity options.
  • Flexible remote-first policy with access to premium co-working spaces.

If you are passionate about the intersection of artificial intelligence, scalability, and ethical engineering, we want to hear from you.

Responsibilities

  • Architectural Design: Design and implement robust, scalable AI architectures that align with long-term business goals and 2026 technology roadmaps.
  • R&D Leadership: Spearhead research and development initiatives in Generative AI, Large Language Models (LLMs), and predictive analytics.
  • System Integration: Oversee the integration of AI services into existing cloud infrastructure, ensuring seamless interoperability.
  • Team Mentorship: Mentor a team of data scientists and engineers, fostering a culture of continuous learning and technical excellence.
  • Performance Optimization: Continuously monitor system performance, optimize model latency, and reduce inference costs.
  • Stakeholder Communication: Translate complex technical concepts into actionable insights for non-technical stakeholders and executive leadership.

Qualifications

  • Experience: Minimum of 8+ years of experience in software engineering, with a specific focus on Machine Learning and AI architecture.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with modern AI frameworks.
  • Cloud Expertise: Strong understanding of cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Problem Solving: Demonstrated ability to solve complex, ambiguous problems with innovative technical solutions.
  • Communication: Excellent verbal and written communication skills, with the ability to lead cross-functional teams effectively.

Required Skills

Python TensorFlow PyTorch AWS Machine Learning Cloud Architecture Docker Kubernetes System Design Leadership

Ready to Take This Challenge?

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

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