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Information Technology 🏢 Full Time ⭐️ Verified

Strategic AI Architect: 2026 Vision

Apex Horizon Systems
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Are you ready to architect the future?

Apex Horizon Systems is seeking a visionary Strategic AI Architect to lead our initiatives into 2026 and beyond. In this pivotal role, you will define the technological roadmap for our next-generation enterprise solutions, bridging the gap between theoretical AI capabilities and scalable, real-world infrastructure.

We are looking for a leader who doesn't just predict trends but shapes them. You will be responsible for designing resilient systems capable of handling the data explosion anticipated in the coming years, ensuring our platform remains at the forefront of innovation.

Why join us?
We offer a competitive package, equity options, and the unique opportunity to build the technology stack that will define the industry standard for 2026.

Responsibilities

  • Define the 2026 Technology Roadmap: Lead the strategic planning and execution of architectural initiatives aligned with our long-term vision.
  • Design Scalable AI Infrastructure: Architect high-availability, distributed systems that leverage machine learning and predictive analytics at scale.
  • Drive Innovation: Research and prototype emerging technologies (Quantum-ready algorithms, Advanced NLP, Edge Computing) to prepare for the 2026 landscape.
  • Lead High-Performance Teams: Mentor senior engineers and architects, fostering a culture of technical excellence and continuous learning.
  • Ensure Security & Compliance: Implement robust security protocols and ensure all architectural decisions meet rigorous data protection standards.
  • Collaborate with Cross-Functional Units: Work closely with product managers, data scientists, and business stakeholders to translate complex requirements into technical solutions.

Qualifications

  • Proven Expertise: 8+ years of experience in software architecture, with at least 3 years in leading AI or ML infrastructure projects.
  • Technical Mastery: Deep understanding of cloud platforms (AWS/Azure/GCP), microservices architecture, and containerization (Kubernetes/Docker).
  • AI & Data Fluency: Strong background in machine learning pipelines, big data processing (Spark/Hadoop), and neural network architectures.
  • Strategic Vision: Ability to think critically about long-term trends and adapt strategies accordingly.
  • Leadership Skills: Demonstrated experience managing diverse, high-performing engineering teams.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning System Architecture Cloud Computing Kubernetes Python Microservices Leadership Strategic Planning

Ready to Take This Challenge?

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

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