Home Job Details
N
Information Technology 🏢 Full Time ⭐️ Verified

Principal AI Architect (2026 Vision)

Nexus Future Labs
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

We are on the cusp of a technological revolution. At Nexus Future Labs, we are building the foundational architecture for the year 2026 and beyond. As our Principal AI Architect, you will be responsible for designing the next generation of autonomous systems and agentic AI workflows.

In this role, you will bridge the gap between theoretical AI advancements and practical enterprise implementation. You will lead a team of brilliant engineers and data scientists in deploying scalable, secure, and efficient AI solutions that define the future of our industry.

Why join us?

  • Work on cutting-edge Agentic AI technologies.
  • Competitive compensation package.
  • Remote-first culture with hybrid flexibility.

Responsibilities

  • Define and execute the architectural vision for 2026 AI infrastructure, focusing on autonomy and self-improvement loops.
  • Lead the design and implementation of Large Language Model (LLM) orchestration systems and vector databases.
  • Mentor senior engineers and architects to foster a culture of technical excellence and innovation.
  • Ensure system scalability, security, and compliance with emerging global AI regulations.
  • Collaborate with product management to translate complex 2026 roadmaps into technical specifications.
  • Conduct code reviews and architectural audits to maintain high code quality standards.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in a lead or architect role.
  • Deep expertise in Machine Learning, Deep Learning, and Natural Language Processing (NLP).
  • Proven track record of deploying scalable AI solutions in production environments.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker).
  • Strong understanding of prompt engineering, fine-tuning, and Reinforcement Learning from Human Feedback (RLHF).
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related quantitative field.

Required Skills

Python TensorFlow PyTorch Kubernetes AWS GCP Machine Learning Deep Learning NLP System Design Architecture Leadership

Ready to Take This Challenge?

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

Apply Now

Related Jobs

Similar job recommendations for you

View All