Job Description
We are seeking a visionary Strategic AI Architect (2026 Roadmap) to define the technological future of our organization. In this pivotal role, you will lead the charge in integrating advanced Artificial Intelligence solutions that will define our product landscape through 2026 and beyond. If you are a leader who thrives on complexity and wants to build the infrastructure of tomorrow, we want to meet you.
Why Join Us?
We are not just building software; we are architecting the future. As a leader in our Strategic AI division, you will have the autonomy to make high-impact decisions, mentor top-tier talent, and shape the roadmap that will position us as an industry leader in the next era of technology.
Responsibilities
- Define the 2026 Strategic Roadmap: Collaborate with C-suite executives to outline a comprehensive technological vision for the next three years, focusing on AI integration and scalability.
- Architect Scalable Solutions: Design and oversee the implementation of robust AI systems that can handle enterprise-grade data loads and real-time processing.
- Lead Cross-Functional Teams: Guide engineering, data science, and product teams to ensure alignment with the strategic vision and delivery of high-quality code.
- Drive Innovation: Stay ahead of emerging trends in Generative AI, LLMs, and edge computing to propose cutting-edge solutions.
- Risk Management: Identify technical risks and implement mitigation strategies to ensure project stability and security compliance.
- Mentorship: Foster a culture of continuous learning and technical excellence within the engineering department.
Qualifications
- Strategic Experience: 10+ years of experience in software architecture, with at least 5 years in a senior leadership or strategic planning role.
- AI & Machine Learning Expertise: Deep understanding of modern AI architectures, including NLP, Computer Vision, and Predictive Analytics.
- Cloud Mastery: Proficiency in major cloud platforms (AWS, Azure, or GCP) with a focus on serverless and microservices architectures.
- Leadership Skills: Proven track record of managing large, diverse engineering teams and driving successful project delivery.
- Problem Solving: Exceptional ability to translate complex business requirements into elegant technical solutions.
- Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.