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Information Technology 🏒 Full Time ⭐️ Verified

Future Tech Strategist & AI Research Lead

Nexus Horizon Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

We are at the forefront of innovation, defining what is possible in 2026 and beyond. Nexus Horizon Solutions is seeking a visionary Future Tech Strategist & AI Research Lead to architect our next-generation artificial intelligence ecosystem. In this pivotal role, you will bridge the gap between theoretical research and scalable product implementation, ensuring our solutions remain cutting-edge in a rapidly evolving digital landscape.

As a leader in our technical team, you will define the roadmap for our AI infrastructure, mentor a team of brilliant engineers, and explore emerging paradigms such as generative AI and neural interfaces.

Responsibilities

  • Lead the research and development of proprietary AI models and algorithms tailored for enterprise scalability.
  • Define and execute the long-term technology strategy, identifying emerging trends like quantum computing and autonomous systems.
  • Collaborate with product management to translate complex technical concepts into user-centric solutions.
  • Oversee the architecture of our cloud-based infrastructure, ensuring security, efficiency, and compliance with future regulatory standards.
  • Drive innovation sprints and hackathons to foster a culture of continuous improvement and creative problem-solving.
  • Build and mentor a high-performing engineering team, conducting technical reviews and providing career development guidance.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 5 years of experience in AI research, machine learning engineering, or a similar technical leadership role.
  • Deep proficiency in programming languages such as Python, C++, and frameworks like PyTorch or TensorFlow.
  • Proven track record of delivering large-scale machine learning systems from concept to deployment.
  • Strong understanding of ethical AI principles and responsible data governance practices.
  • Excellent communication skills, with the ability to articulate complex technical strategies to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python PyTorch TensorFlow Leadership Research Data Science Cloud Architecture

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