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Information Technology 🏢 Full Time ⭐️ Verified

2026 Future Tech Lead (AI & Infrastructure)

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

Job Description

We are on the cusp of a new era. Nexus Horizon is seeking a visionary 2026 Future Tech Lead to architect the next generation of artificial intelligence infrastructure.

In this role, you won't just maintain the status quo; you will define the roadmap that takes us from today's capabilities to the breakthroughs of 2026. You will lead a world-class team of engineers in building scalable, secure, and intelligent systems that power the future.

Responsibilities

  • Define and execute the technical vision for the 2026 product roadmap, focusing on Generative AI and Edge Computing.
  • Lead the architecture and development of large-scale machine learning models and data pipelines.
  • Optimize cloud infrastructure (AWS/Azure) to ensure high availability and performance under massive load.
  • Mentor senior engineers and foster a culture of innovation, technical excellence, and continuous learning.
  • Collaborate with cross-functional product teams to translate business goals into technical solutions.
  • Ensure enterprise-grade security and compliance standards are met across all AI systems.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in a leadership or technical lead role.
  • Deep expertise in Large Language Models (LLMs), Transformers, and Natural Language Processing (NLP).
  • Strong proficiency in cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker).
  • Proven track record of scaling systems to handle millions of concurrent users.
  • Experience with real-time data processing frameworks (Kafka, Spark, Flink).
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Cloud Computing AWS GCP Leadership System Architecture LLMs Kubernetes

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