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Information Technology 🏢 Full Time ⭐️ Verified

Senior Technical Lead: AI & Future Systems

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are at the forefront of the next technological revolution. As a Senior Technical Lead: AI & Future Systems at Nexus Horizon Systems, you won't just manage code; you will architect the digital infrastructure of tomorrow.

Our mission is to integrate cutting-edge Generative AI and Predictive Modeling into enterprise solutions by 2026. We are looking for a visionary leader who thrives in ambiguity and possesses the technical prowess to guide our engineering teams through complex architectural challenges.

Why Join Us?

  • Work with state-of-the-art AI frameworks.
  • Shape the roadmap for the next generation of intelligent systems.
  • Competitive compensation package with equity options.

Responsibilities

  • Strategic Vision: Define and execute the technical roadmap for AI integration, ensuring alignment with company goals for 2026 and beyond.
  • Architecture Leadership: Design scalable, high-performance distributed systems that leverage machine learning models for real-time decision making.
  • Team Mentorship: Lead, mentor, and grow a high-performing engineering team, fostering a culture of innovation and technical excellence.
  • R&D Collaboration: Partner with research teams to prototype and validate emerging technologies such as Large Language Models (LLMs) and edge computing.
  • Process Optimization: Implement best practices in CI/CD, DevOps, and agile methodologies to accelerate delivery cycles.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field. PhD preferred.
  • Experience: Minimum of 8+ years of software engineering experience, with at least 3 years in a senior technical leadership or architect role.
  • Technical Stack: Deep proficiency in Python, TensorFlow/PyTorch, and modern cloud architectures (AWS, GCP, or Azure).
  • AI Expertise: Proven track record of implementing production-grade AI/ML solutions, specifically in NLP or Computer Vision.
  • Leadership: Demonstrated ability to lead cross-functional teams and manage complex projects from conception to deployment.

Required Skills

Python Machine Learning AI System Architecture Cloud Computing TensorFlow Leadership Strategic Planning NLP DevOps

Ready to Take This Challenge?

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