Job Description
We are seeking a visionary AI Strategy Architect to lead our organization into the next era of technological advancement. In this pivotal role, you will be at the forefront of defining our 2026 Technology Roadmap, translating complex future trends into actionable architectural blueprints.
As a key member of our executive technical team, you will bridge the gap between theoretical innovation and practical implementation, ensuring our infrastructure is scalable, secure, and ready for the AI-driven future. If you have a passion for defining the future and a proven track record of leading large-scale technical transformations, we want to hear from you.
Responsibilities
- Define the 2026 AI Roadmap: Lead the strategic planning and execution of our artificial intelligence initiatives, identifying emerging trends and technologies.
- Architect Scalable Solutions: Design and oversee the implementation of robust AI frameworks that support future growth and massive data throughput.
- Lead Technical Innovation: Spearhead the adoption of Generative AI and Large Language Models (LLMs) to drive business value and operational efficiency.
- Cross-Functional Leadership: Collaborate with product, engineering, and business units to ensure technical vision aligns with corporate goals.
- Future-Proof Infrastructure: Assess and upgrade legacy systems to ensure seamless integration with next-generation AI tools.
- Ethical AI Governance: Establish and enforce policies to ensure responsible AI development and compliance with future regulations.
Qualifications
- 10+ Years Experience: Extensive background in software architecture, specifically within AI/ML and high-scale enterprise environments.
- Technical Expertise: Deep knowledge of Python, TensorFlow, PyTorch, and modern cloud architectures (AWS, Azure, or GCP).
- Strategic Vision: Proven ability to look beyond current technologies and anticipate the needs of the year 2026 and beyond.
- Leadership Skills: Demonstrated success in leading high-performing engineering teams and managing complex technical projects.
- Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Communication: Exceptional ability to translate complex technical concepts into clear business strategies for stakeholders.