Job Description
We are seeking a visionary Senior AI Architect to spearhead the 2026 Horizon Initiative, a cutting-edge program dedicated to defining the next decade of artificial intelligence. In this pivotal role, you will bridge the gap between theoretical AI research and practical, scalable engineering, designing systems that are not just advanced today, but are future-proof for 2026 and beyond.
At Nexus Future Systems, we believe that the future is built by those who dare to imagine it first. You will lead a team of elite engineers in architecting robust machine learning infrastructures, optimizing deep learning models for unprecedented efficiency, and guiding the technical strategy for our flagship products. If you are passionate about pushing the boundaries of what is possible with AI and have a track record of delivering high-impact solutions, we want to meet you.
Why Join Us?
- Work on the forefront of AI innovation with a Fortune 500 company.
- Competitive compensation package with equity options.
- Flexible remote-first culture with state-of-the-art equipment.
Responsibilities
- Design and implement scalable machine learning pipelines and infrastructure for the 2026 roadmap.
- Lead the technical strategy for deploying Large Language Models (LLMs) and generative AI solutions.
- Collaborate with product management and engineering teams to translate complex business requirements into technical architectures.
- Mentor junior engineers and conduct code reviews to maintain high standards of quality and innovation.
- Optimize model performance and reduce inference latency in production environments.
- Stay ahead of industry trends, researching emerging AI paradigms to integrate into our ecosystem.
Qualifications
- Master’s or Ph.D. degree in Computer Science, Artificial Intelligence, or a related technical field.
- 5+ years of experience in AI/ML engineering, with at least 2 years in a senior or lead architectural role.
- Expert proficiency in Python, TensorFlow, PyTorch, and modern deep learning frameworks.
- Deep understanding of NLP, computer vision, or reinforcement learning architectures.
- Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Proven track record of leading cross-functional teams and delivering complex projects on time.