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Senior AI Architect (2026 Horizon)

TechNova Solutions
San Francisco
Estimated Salary
USD 195.000 – USD 260.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are seeking a visionary Senior AI Architect (2026 Horizon) to lead the design and deployment of next-generation artificial intelligence systems. As we race toward the technological milestones of 2026, you will be instrumental in building the scalable, secure, and intelligent infrastructure that powers our global operations. This is a unique opportunity to define the future of AI within a dynamic, high-growth environment.

Why join TechNova?

  • Work on cutting-edge Agentic AI and Large Language Model (LLM) infrastructures.
  • Competitive compensation package including equity.
  • Flexible remote-first policies with a hub in San Francisco.
  • Access to state-of-the-art computing resources.

Responsibilities

  • Architectural Leadership: Design and oversee the implementation of robust AI infrastructure, ensuring scalability and high availability for 2026 systems.
  • Model Optimization: Collaborate with research teams to fine-tune and optimize neural networks for reduced latency and increased inference speed.
  • System Integration: Integrate AI models into our existing cloud ecosystem, utilizing Kubernetes and Docker for containerization.
  • Security & Compliance: Implement rigorous security protocols to protect sensitive data and ensure compliance with global AI regulations.
  • Technical Strategy: Stay ahead of industry trends, including Quantum Computing integration and Edge AI, to guide the company's technical roadmap.
  • Mentorship: Guide junior engineers and data scientists, fostering a culture of innovation and continuous learning.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, Machine Learning, or a related field (or equivalent professional experience).
  • Experience: 7+ years of experience in software engineering, with at least 4 years focused on AI/ML infrastructure.
  • Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and experience with distributed systems (Kubernetes, AWS, GCP).
  • Problem Solving: Demonstrated ability to solve complex engineering challenges in large-scale environments.
  • Communication: Excellent verbal and written communication skills, with the ability to articulate technical concepts to non-technical stakeholders.
  • Future-Proofing: Strong interest in emerging technologies and a proactive approach to adopting new frameworks.

Required Skills

Python TensorFlow PyTorch Kubernetes AWS Machine Learning System Design AI Architecture Cloud Computing Deep Learning

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