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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Roadmap)

Horizon Tech Solutions
San Francisco
Estimated Salary
USD 165.000 – USD 230.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Are you ready to architect the digital future of 2026? Horizon Tech Solutions is seeking a visionary Senior AI Architect (2026 Roadmap) to lead our next-generation research division. We are not just building software for today; we are defining the standards for the 2026 technological landscape.

In this pivotal role, you will be responsible for designing robust, scalable AI infrastructures that anticipate the needs of the next decade. You will work at the intersection of Generative AI, Predictive Analytics, and Quantum-ready algorithms. If you are passionate about pushing the boundaries of what is possible in 2026, we want to meet you.

Why Join Us?

  • Be at the forefront of the 2026 AI revolution.
  • Competitive equity and performance bonuses.
  • Flexible remote-first policy with premium office amenities in SF.
  • Access to cutting-edge hardware and research grants.

Key Objectives:

Our goal is to deploy autonomous systems that redefine user interaction by 2026. You will guide a team of top-tier engineers in building these systems, ensuring they are secure, ethical, and scalable.

Responsibilities

  • Design the 2026 Tech Stack: Architect end-to-end AI solutions that leverage next-gen neural networks and edge computing.
  • Strategic Roadmap: Define the technical vision and long-term architecture for the 2026 product suite.
  • Team Leadership: Mentor senior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • System Optimization: Oversee the scalability and performance of our predictive models in real-time environments.
  • Collaboration: Partner with product managers to translate futuristic concepts into actionable technical roadmaps.
  • R&D Leadership: Explore emerging technologies (e.g., Quantum AI integration) to maintain a competitive edge.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related field.
  • Experience: 10+ years of experience in software architecture, with at least 5 years specifically in AI/ML.
  • Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and distributed systems.
  • Future-Proofing: Demonstrated ability to anticipate industry trends and adapt architectures for future scalability.
  • Leadership: Proven track record of leading high-performing engineering teams.
  • Communication: Exceptional ability to articulate complex technical concepts to non-technical stakeholders.
  • Agile Mindset: Experience working in Agile/Scrum environments delivering rapid iterations.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow PyTorch System Architecture Cloud Computing (AWS/GCP) Deep Learning Data Science Leadership

Ready to Take This Challenge?

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

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