Job Description
We are Nexus Future Systems, a pioneer in next-generation artificial intelligence. As we prepare to define the technological landscape of 2026, we are looking for a visionary Lead AI Architect to spearhead our core infrastructure and strategy. This is not just a job; it is a mandate to build the systems that will power the future.
In this pivotal role, you will bridge the gap between theoretical research and scalable production systems. You will lead a team of elite engineers in designing generative models, optimizing neural networks, and establishing ethical AI frameworks. If you are driven by the challenge of shaping the roadmap for 2026 and beyond, we want to hear from you.
Why Join Us?
- Future-First Culture: We are building for the year 2026 and the decades following.
- Top-Tier Compensation: Competitive base salary, equity, and comprehensive benefits.
- Innovation: Work with state-of-the-art hardware and the latest LLMs.
Ready to architect the future? Apply today.
Responsibilities
- Strategic Roadmapping: Define and execute the AI architecture strategy for 2026, ensuring scalability, security, and performance.
- Model Development: Lead the design and implementation of large-scale generative AI models and deep learning frameworks.
- Team Leadership: Mentor and guide a high-performing engineering team, fostering a culture of innovation and continuous learning.
- Technical Oversight: Oversee the full software development lifecycle (SDLC) for AI products, from prototyping to deployment.
- Stakeholder Collaboration: Partner with product managers and C-suite executives to translate business goals into technical requirements.
- Compliance & Ethics: Establish robust governance frameworks for AI ethics, bias mitigation, and data privacy.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 8+ years of experience in software engineering, with at least 4 years specifically in AI/ML architecture and leadership.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing systems (e.g., Kubernetes, AWS).
- Leadership: Proven track record of managing engineering teams and delivering complex projects on time.
- Vision: Demonstrated ability to think strategically about long-term trends in AI technology.
- Communication: Excellent verbal and written communication skills, capable of presenting complex technical concepts to diverse audiences.