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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: Shaping the 2026 Future

Nexus 2026 Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Are you ready to define the technological landscape of 2026?

Nexus 2026 Solutions is pioneering the next generation of intelligent infrastructure. We are not just building for today; we are architecting the infrastructure of tomorrow. We are seeking a visionary Lead AI Architect to spearhead our strategic roadmap towards the 2026 technological horizon. In this pivotal role, you will bridge the gap between theoretical AI potential and scalable, real-world application, ensuring our platforms remain at the cutting edge of innovation.


Why Join Us?
β€’ Work on mission-critical projects that define the future of AI.
β€’ Competitive compensation package and equity opportunities.
β€’ Collaborative, high-performance culture focused on engineering excellence.
β€’ Flexible remote-first policy with a premium office in the heart of San Francisco.

Responsibilities

  • Architect and design scalable, high-performance AI and Machine Learning systems aligned with the 2026 product roadmap.
  • Lead the technical vision for Generative AI integration and Natural Language Processing (NLP) across the enterprise.
  • Collaborate with cross-functional teams (Product, Engineering, Design) to translate business requirements into technical solutions.
  • Establish and enforce best practices for code quality, security, and AI ethics.
  • Mentor and guide a team of senior engineers and data scientists to foster professional growth.
  • Conduct deep-dive technical research to identify emerging trends and technologies for future implementation.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years in a Lead Architect or Principal Engineer role.
  • Extensive experience designing and deploying Large Language Models (LLMs) and Generative AI frameworks.
  • Deep expertise in Python, TensorFlow, PyTorch, and cloud-native architecture (AWS, GCP, or Azure).
  • Strong understanding of MLOps, data pipelines, and distributed systems.
  • Exceptional leadership skills with a proven track record of managing high-performing engineering teams.

Required Skills

Artificial Intelligence Machine Learning Python Cloud Architecture System Design Leadership Generative AI MLOps NLP

Ready to Take This Challenge?

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

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