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Information Technology 🏒 Full Time ⭐️ Verified

Future-Ready AI Solutions Architect (2026 Roadmap)

Vortex Future Labs
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are looking for a visionary Future-Ready AI Solutions Architect to define the technical landscape for Vortex Future Labs by 2026. In this pivotal role, you will bridge the gap between cutting-edge research and scalable production systems, ensuring our AI infrastructure remains at the forefront of the industry. You will lead a team of elite engineers in building autonomous agents and next-generation generative models.

Why Join Us?

At Vortex Future Labs, we don't just predict the future; we build it. We are a mission-driven organization focused on solving humanity's most complex challenges through advanced artificial intelligence.

Responsibilities

  • Architect and deploy scalable AI systems with a focus on autonomous agents and Generative AI by 2026.
  • Define the technical roadmap and architectural standards for future-proofing our infrastructure.
  • Mentor senior engineers and technical leads to foster a culture of innovation and excellence.
  • Collaborate with cross-functional product teams to translate business requirements into technical solutions.
  • Ensure data integrity, security, and ethical compliance across all AI deployments.
  • Research and evaluate emerging technologies (LLMs, Neural Networks, Edge AI) to stay ahead of the curve.
  • Optimize system performance and reduce latency in high-volume data environments.

Qualifications

  • 10+ years of experience in Software Engineering, with at least 5 years in AI/ML architecture.
  • Strong proficiency in Python, TensorFlow, PyTorch, and distributed systems.
  • Deep understanding of Large Language Models (LLMs), NLP, and Computer Vision.
  • Proven track record of leading large-scale projects from conception to production.
  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch AWS Kubernetes System Design LLMs Natural Language Processing AI Architecture Leadership

Ready to Take This Challenge?

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