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Information Technology 🏒 Full Time ⭐️ Verified

2026 AI Strategy Lead

Apex Horizon Systems
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

We are seeking a visionary leader to architect the future of our AI infrastructure. As a 2026 AI Strategy Lead at Apex Horizon Systems, you will be at the forefront of defining how artificial intelligence integrates with our core product lines in the coming decade. You will drive the technical vision, oversee R&D initiatives, and lead a team of elite engineers to build scalable, cutting-edge solutions.

Why Join Us?
We are a fast-paced, innovation-driven company looking to disrupt the market. You will have the autonomy to shape the roadmap, mentor top-tier talent, and work on projects that define the next generation of technology.

Responsibilities

  • Strategic Roadmapping: Define and execute a comprehensive technology roadmap for the 2026 era, focusing on generative AI, predictive modeling, and neural interfaces.
  • R&D Leadership: Lead high-impact research initiatives, evaluating emerging technologies to determine their feasibility for enterprise deployment.
  • Team Management: Build, mentor, and lead a diverse team of data scientists, machine learning engineers, and AI ethicists.
  • System Architecture: Design scalable, secure, and high-performance AI systems that can handle massive data volumes and real-time processing.
  • Cross-Functional Collaboration: Partner with product management and engineering teams to translate business goals into technical requirements.
  • Innovation Management: Establish a culture of continuous improvement and experimentation within the engineering department.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: Minimum of 8-10 years of experience in software engineering, with at least 5 years in a senior leadership or architecture role.
  • Technical Expertise: Deep understanding of machine learning algorithms, natural language processing (NLP), and large language models (LLMs).
  • Programming: Proficiency in Python, PyTorch, TensorFlow, and cloud-native architecture (AWS, GCP, or Azure).
  • Soft Skills: Exceptional communication skills, strategic thinking, and the ability to influence stakeholders at all levels.

Required Skills

Artificial Intelligence Machine Learning Leadership Python System Architecture Data Science Strategy

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