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Future Tech Lead – AI Strategy (2026 Vision)

OmniFuture Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Are you ready to define the technological landscape of 2026? OmniFuture Systems is seeking a visionary Future Tech Lead to spearhead our AI and machine learning initiatives. We are building the infrastructure for tomorrow, and we need a leader who can bridge the gap between cutting-edge research and scalable production solutions.

In this role, you will guide our engineering teams in developing next-generation AI models, ensuring ethical AI practices, and integrating emerging technologies into our core product suite. Join us in shaping the future of intelligent systems.

Responsibilities

  • Lead the strategic vision for AI development, specifically targeting innovations relevant to the 2026 technology roadmap.
  • Architect and implement scalable machine learning pipelines and neural network architectures.
  • Collaborate with cross-functional teams including product managers, data scientists, and UX designers to deliver seamless user experiences.
  • Establish best practices for data governance, model monitoring, and AI ethics.
  • Conduct deep research into emerging trends such as generative AI, autonomous agents, and quantum computing applications.
  • Mentor junior engineers and data scientists, fostering a culture of continuous learning and innovation.
  • Present technical roadmaps and progress reports to executive stakeholders and investors.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 7+ years of experience in software engineering, with at least 3 years in a leadership or architect role within AI/ML.
  • Expert proficiency in Python, TensorFlow, PyTorch, and modern cloud platforms (AWS, GCP, or Azure).
  • Deep understanding of natural language processing (NLP), computer vision, or reinforcement learning.
  • Proven track record of leading high-performance engineering teams and delivering complex projects on time.
  • Strong knowledge of software design patterns, system architecture, and database management.
  • Excellent communication skills with the ability to translate technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch AWS GCP Azure Machine Learning AI Architecture System Design Leadership

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