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Information Technology 🏢 Full Time ⭐️ Verified

AI & Future Tech Strategist - Shaping 2026

Chronos Systems
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

We are building the world for 2026. At Chronos Systems, we don't just predict the future; we architect it. We are seeking a visionary AI & Future Tech Strategist to spearhead our roadmap for the year 2026 and beyond. In this pivotal role, you will bridge the gap between theoretical innovation and practical application, ensuring our technology stack remains at the bleeding edge of artificial intelligence and autonomous systems.

You will work in a high-performance environment where ambiguity is an opportunity and innovation is the standard. If you are passionate about the trajectory of technology and want to define the next decade of digital evolution, we want to meet you.

Responsibilities

  • Define the 2026 Roadmap: Lead the strategic planning and execution of our technology roadmap, focusing on Generative AI, predictive analytics, and next-gen automation.
  • Architect Future Solutions: Design scalable, robust architectural blueprints for AI-driven products that anticipate market shifts and user needs.
  • Technical Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of excellence, continuous learning, and strategic thinking.
  • Feasibility & Innovation: Conduct rigorous research and feasibility studies on emerging technologies to identify high-impact opportunities for the organization.
  • Stakeholder Management: Communicate complex technical concepts to non-technical stakeholders and secure buy-in for high-level technical initiatives.
  • Integration Strategy: Oversee the integration of AI solutions into existing legacy systems to ensure seamless operational continuity.

Qualifications

  • Experience: 10+ years of experience in software engineering, AI architecture, or product strategy, with at least 3 years in a senior leadership role.
  • Technical Expertise: Deep understanding of Large Language Models (LLMs), neural networks, and machine learning pipelines.
  • Cloud Mastery: Proficiency in cloud infrastructure (AWS, Azure, or GCP) and containerization technologies (Kubernetes, Docker).
  • Strategic Vision: Proven ability to translate business objectives into long-term technical strategies and roadmaps.
  • Problem Solving: Exceptional analytical skills with a track record of solving complex, high-stakes engineering problems.
  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.

Required Skills

Artificial Intelligence Machine Learning Strategic Planning 2026 Roadmap Leadership Python Cloud Architecture Generative AI System Design

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