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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect

2026 Tech
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

We are building the digital infrastructure for the future. At 2026 Tech, we are not just predicting trends; we are defining them. We are seeking a visionary Senior AI Architect to lead the architectural design of our next-generation AI ecosystem. You will be at the forefront of integrating advanced machine learning models with scalable cloud infrastructure, ensuring our solutions are robust, secure, and ready for the demands of the year 2026 and beyond.

Why Join Us?

  • Work on projects that redefine the boundaries of artificial intelligence.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with a premium office in the heart of San Francisco.
  • Continuous learning and development budget.

If you are ready to architect the future of technology, we want to hear from you.

Responsibilities

  • System Design: Lead the end-to-end architectural design of high-scale AI systems and microservices.
  • AI Integration: Oversee the integration of generative AI models and large language models into production environments.
  • Technical Leadership: Mentor a team of senior engineers and provide technical guidance on complex engineering challenges.
  • Optimization: Drive performance optimization strategies to ensure low latency and high throughput for AI inference.
  • Security & Compliance: Implement enterprise-grade security protocols and ensure data privacy compliance across all AI workloads.
  • Roadmap Planning: Define technical roadmaps and best practices for the engineering department.

Qualifications

  • Experience: 7+ years of software engineering experience, with at least 3 years in a senior architecture or lead role.
  • Technical Stack: Proficiency in Python, Rust, or Go, and experience with major cloud providers (AWS, GCP, or Azure).
  • AI Expertise: Deep understanding of machine learning algorithms, neural networks, and MLOps pipelines.
  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
  • Problem Solving: Proven ability to solve complex, ambiguous problems in a fast-paced startup environment.
  • Communication: Excellent verbal and written communication skills with the ability to translate technical concepts to non-technical stakeholders.

Required Skills

Python Rust AWS MLOps Machine Learning Cloud Architecture System Design Kubernetes Docker Generative AI

Ready to Take This Challenge?

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

Apply Now

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