Home Job Details
A
Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: 2026 Visionary

Apex Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Juli 2026
Deadline
11 Jul 2027

Job Description

Join the Architects of Tomorrow.


At Apex Future Labs, we are pioneering the next generation of artificial intelligence to redefine the landscape of enterprise solutions by 2026. We are seeking a visionary Lead AI Architect to spearhead our cutting-edge Generative AI initiatives.


In this role, you won't just write code; you will architect the neural pathways of the future. You will bridge the gap between theoretical AI capabilities and scalable, real-world applications, ensuring our technology remains at the forefront of the industry.


Why Join Us?

  • Work on projects that have a direct impact on the trajectory of AI development.
  • Competitive compensation and equity packages for top-tier talent.
  • Access to state-of-the-art hardware and research facilities.

Responsibilities

  • Architect Next-Gen AI Systems: Design and implement scalable, high-performance AI architectures capable of handling enterprise-grade workloads with low latency.
  • LLM Strategy: Lead the integration and optimization of Large Language Models (LLMs) to drive autonomous agent workflows and intelligent automation.
  • Model Lifecycle Management: Oversee the full lifecycle of machine learning models, from data ingestion and training to fine-tuning, evaluation, and deployment.
  • Technical Vision: Define the technical roadmap for our AI research and engineering teams, aligning product goals with long-term technological trends.
  • R&D Leadership: Collaborate with cross-functional teams to translate complex business requirements into robust technical solutions.

Qualifications

  • Education: Master’s degree in Computer Science, Artificial Intelligence, or a related technical field; PhD preferred.
  • Experience: 7+ years of experience in software engineering, with at least 4 years focused on Machine Learning and Deep Learning.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with cloud platforms (AWS, GCP, or Azure).
  • Expertise: Deep understanding of Transformer architectures, Natural Language Processing (NLP), and vector databases.
  • Leadership: Proven track record of leading technical teams and managing complex project lifecycles.

Required Skills

Python PyTorch TensorFlow Large Language Models LLMs Cloud Architecture AWS GCP Deep Learning NLP Machine Learning Engineering Leadership AI Strategy

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