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Senior AI Strategy & Automation Lead (2026 Vision)

OmniFuture Systems
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

The Future is Now. At OmniFuture Systems, we are building the infrastructure for the autonomous era. As we look toward 2026, we are seeking a visionary Senior AI Strategy & Automation Lead to pioneer next-generation machine learning solutions and redefine human-computer interaction.

You won't just be maintaining legacy systems; you will architect the neural networks that power our global ecosystem. If you thrive in ambiguity, possess a deep understanding of generative AI, and want to shape the technology landscape of the future, this is your opportunity to lead.

Why Join Us?

  • Impact: Deploy AI solutions that scale to millions of users.
  • Autonomy: Work in a high-trust environment with flexible hours.
  • Growth: Competitive equity package and continuous learning stipend.

Responsibilities

  • Architect and implement scalable autonomous workflow systems using cutting-edge Generative AI and LLMs.
  • Lead R&D initiatives to explore emerging technologies like Quantum AI and Neuro-symbolic computing.
  • Define and enforce ethical AI frameworks to ensure responsible innovation and bias mitigation.
  • Collaborate with cross-functional product teams to translate complex technical requirements into user-centric automation solutions.
  • Optimize model inference speed and accuracy, reducing latency by 40%+ in production environments.
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence and innovation.

Qualifications

  • 10+ years of experience in Artificial Intelligence, Machine Learning, or Software Engineering.
  • Proven track record of deploying production-ready AI models (e.g., Python, TensorFlow, PyTorch).
  • Expert knowledge of Natural Language Processing (NLP) and Computer Vision.
  • Master’s degree in Computer Science, Data Science, or a related quantitative field (PhD preferred).
  • Demonstrated experience in leading large-scale engineering teams and managing technical roadmaps.
  • Strong understanding of cloud infrastructure (AWS, GCP, Azure) and containerization (Docker, Kubernetes).

Required Skills

Python TensorFlow PyTorch NLP Machine Learning LLMs Cloud Architecture Docker Kubernetes Strategic Planning

Ready to Take This Challenge?

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

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