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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - Project 2026 | San Francisco, CA

Nexus Innovations
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

We are on a mission to redefine the technological landscape with Project 2026. As a leading innovator in the AI space, we are building the next generation of autonomous agents and predictive systems. We are seeking a visionary Senior AI Architect to lead our technical strategy and drive the engineering excellence required for this groundbreaking initiative.

Why Join Us?

You will be at the forefront of innovation, working with a team of world-class engineers and data scientists. We offer a competitive compensation package, equity, and the opportunity to shape the future of artificial intelligence.

Responsibilities

  • Architectural Leadership: Design and implement scalable, robust, and secure AI infrastructure for Project 2026, ensuring high availability and performance.
  • Model Development: Oversee the development and optimization of proprietary machine learning models, including Large Language Models (LLMs) and generative AI systems.
  • Technical Strategy: Define the technical roadmap for the project, evaluating emerging technologies and tools to stay ahead of industry trends.
  • Code Review & Mentorship: Lead code reviews, conduct technical deep-dives, and mentor junior engineers to foster a culture of engineering excellence.
  • Collaboration: Work closely with product managers, designers, and data scientists to translate business requirements into technical solutions.
  • System Optimization: Continuously monitor and optimize system performance, latency, and resource utilization.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 7+ years of experience in software engineering with a focus on AI/ML systems.
  • Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, or similar ML frameworks. Strong experience with cloud platforms (AWS, GCP, or Azure).
  • System Design: Proven track record of designing distributed systems and large-scale machine learning pipelines.
  • Communication: Exceptional verbal and written communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
  • Problem Solving: Strong analytical skills with a demonstrated ability to troubleshoot complex engineering challenges.

Required Skills

Python TensorFlow PyTorch AWS GCP System Design Machine Learning Distributed Systems Agile Project 2026

Ready to Take This Challenge?

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