Job Description
We are seeking a visionary AI Architect to lead the strategic deployment of artificial intelligence technologies in the year 2026 and beyond. At Nexus Future Labs, we don't just predict the future; we engineer it. You will be at the helm of designing scalable, robust, and ethically sound AI systems that will redefine the landscape of enterprise technology.
In this pivotal role, you will bridge the gap between theoretical AI research and practical, high-impact engineering. You will work in a high-performance environment where innovation is not just encouraged—it is the metric of success.
Responsibilities
- Architect Next-Gen AI Systems: Design and implement scalable neural architectures for Large Language Models (LLMs) and generative AI frameworks.
- Strategic Roadmapping: Define the technical roadmap for AI infrastructure, ensuring alignment with the company's 2026 strategic vision.
- Model Optimization: Lead initiatives to reduce inference costs and improve latency for real-time AI applications.
- Cross-Functional Collaboration: Partner with product and engineering teams to integrate AI solutions seamlessly into existing workflows.
- Ethical AI Oversight: Establish governance frameworks to ensure AI safety, fairness, and transparency in all deployed models.
- Technical Mentorship: Guide a team of senior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 8+ years of experience in software engineering, with at least 4 years specifically focused on AI/ML architecture.
- Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, or similar frameworks; proficiency in distributed systems (Kubernetes, Docker).
- AI Specialization: Demonstrated experience in NLP, Computer Vision, or Reinforcement Learning.
- Problem Solving: Exceptional ability to solve complex, ambiguous problems with innovative technical solutions.
- Communication: Excellent verbal and written communication skills, capable of translating complex technical concepts for diverse stakeholders.