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Information Technology 🏢 Full Time ⭐️ Verified

Future Tech Lead: AI & Automation (2026 Ready)

Horizon 2026 Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Are you ready to architect the future of the digital landscape?

Horizon 2026 Solutions is seeking a visionary Future Tech Lead to spearhead our next-generation AI and automation initiatives. As we prepare for the technological paradigm shift of 2026, we need a leader who can bridge the gap between theoretical innovation and practical application.

In this role, you will define the architectural roadmap for our cutting-edge platforms, ensuring scalability, security, and performance in a rapidly evolving market.

Responsibilities

  • Architectural Vision: Design and implement scalable AI infrastructure and automation frameworks for the 2026 ecosystem.
  • Team Leadership: Mentor a high-performing engineering team, fostering a culture of innovation and continuous learning.
  • Strategic Planning: Translate business objectives into technical roadmaps with a clear focus on future-proofing our technology stack.
  • Cross-Functional Collaboration: Partner with product managers, designers, and stakeholders to deliver high-impact solutions.
  • Performance Optimization: Oversee system performance tuning and resource optimization to ensure 99.99% uptime.
  • R&D: Stay ahead of industry trends, specifically focusing on emerging tech relevant to the 2026 timeline.

Qualifications

  • Experience: 8+ years of experience in software engineering, with at least 3 years in a leadership or architect role.
  • Tech Stack: Proficiency in Python, TensorFlow, or PyTorch, and cloud platforms (AWS/GCP/Azure).
  • Future Tech: Strong understanding of Generative AI, NLP, and predictive modeling technologies.
  • Leadership: Proven track record of leading distributed teams and managing large-scale technical projects.
  • Problem Solving: Exceptional ability to solve complex architectural challenges under tight deadlines.
  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Required Skills

Python Machine Learning Cloud Architecture System Design Leadership AI AWS TensorFlow

Ready to Take This Challenge?

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