Job Description
Join the Vanguard of the Future. Nexus Horizon Technologies is seeking a visionary Senior AI Strategy Architect to define the technological roadmap for the year 2026. You will bridge the gap between cutting-edge research and commercial application, leading a team dedicated to solving humanity's most complex challenges through artificial intelligence.
In this high-impact role, you will not just implement existing solutions; you will architect the infrastructure that will define the next decade of tech. If you have a passion for the future and a proven track record of leading large-scale AI initiatives, we want to hear from you.
Why Join Us?
- Work with a Fortune 500 forward-thinking team.
- Shape the strategic direction of AI for the next 5 years.
- Competitive equity package and performance bonuses.
Responsibilities
- Define the 2026 Roadmap: Lead the strategic planning process to identify emerging AI trends and integrate them into the company's long-term vision for 2026 and beyond.
- Architect Future Systems: Design scalable, secure, and efficient AI architectures capable of handling petabyte-scale data streams and autonomous decision-making.
- Cross-Functional Leadership: Collaborate with engineering, product, and executive leadership teams to translate high-level strategy into actionable technical roadmaps.
- Emerging Tech Prototyping: Spearhead proof-of-concept projects for next-generation technologies, including Large Language Models (LLMs), Computer Vision, and Quantum AI interfaces.
- Ethical AI Governance: Establish frameworks and guidelines to ensure AI systems are ethical, unbiased, and compliant with global regulations.
- Talent Acquisition: Recruit, mentor, and retain top-tier talent in the AI space, building a world-class engineering culture.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related field from a top-tier university.
- Experience: 10+ years of experience in AI/ML, with at least 5 years in a senior leadership or architect role.
- Technical Expertise: Deep knowledge of machine learning algorithms, neural networks, and deep learning frameworks (TensorFlow, PyTorch).
- Strategic Vision: Proven ability to forecast technological trends and align them with business goals.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executives.
- Problem Solving: Demonstrated history of solving critical engineering challenges and delivering innovative solutions under pressure.