Job Description
Are you ready to architect the future of intelligence? Nexus Future Tech is seeking a visionary Senior AI Strategy Architect to lead our roadmap through 2026 and beyond. In this high-impact role, you won't just implement existing technologies; you will define the strategic framework for the next generation of generative AI and machine learning systems that will redefine industries.
We are looking for a leader who thrives on ambiguity, possesses deep technical expertise, and has the foresight to anticipate the technological landscape of 2026. If you are passionate about ethical AI, scalable systems, and building products that matter, we want to meet you.
Responsibilities
- Define and articulate a comprehensive AI vision and technical roadmap, specifically targeting breakthrough capabilities for the 2026 fiscal year.
- Lead cross-functional teams to design, prototype, and implement cutting-edge AI architectures that drive business value.
- Collaborate with C-suite executives to translate complex technical concepts into actionable business strategies.
- Oversee the research and integration of emerging AI trends, ensuring our platform remains at the forefront of innovation.
- Establish best practices for data governance, model transparency, and ethical AI implementation.
- Drive the technical evaluation of new tools, frameworks, and cloud services to optimize performance and cost.
Qualifications
- 10+ years of experience in software engineering, data science, or AI architecture, with at least 3 years in a senior leadership or strategic role.
- Deep expertise in machine learning algorithms, deep learning frameworks (TensorFlow, PyTorch), and NLP technologies.
- Proven track record of leading large-scale AI initiatives from concept to production deployment.
- Strong understanding of cloud infrastructure (AWS, Azure, or GCP) and scalable system design.
- Exceptional communication skills with the ability to influence and align stakeholders across diverse technical and non-technical teams.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.