Job Description
Are you ready to build the foundational technologies that will define the AI landscape in 2026 and beyond? Nexus Future Systems is seeking a visionary Senior AI Architect to lead our Project Horizon, a cutting-edge initiative aimed at developing the next generation of generative intelligence.
In this role, you will bridge the gap between theoretical research and production-grade engineering. You will not just use existing tools; you will help curate and optimize the architectures that power our enterprise solutions. Join a team of elite engineers and researchers dedicated to pushing the boundaries of what is possible in Artificial General Intelligence (AGI) and autonomous agents.
Why Join Us?
- Work on high-impact projects with a clear roadmap through 2026.
- Competitive compensation package and equity options.
- Top-tier healthcare and continuous learning stipends.
Responsibilities
- Architect Scalable Solutions: Design and implement robust AI architectures capable of handling millions of requests with sub-millisecond latency.
- Model Optimization: Lead the fine-tuning and optimization of Large Language Models (LLMs) for specific industry verticals, ensuring high accuracy and low inference costs.
- Agentic Workflow Integration: Develop autonomous AI agents that can perform complex, multi-step reasoning tasks without human intervention.
- Research & Development: Stay at the forefront of the AI niche, evaluating and integrating emerging technologies relevant to the 2026 tech stack.
- MLOps Implementation: Build and maintain CI/CD pipelines for machine learning models, ensuring reproducibility and scalability.
- Technical Mentorship: Mentor junior engineers and data scientists, fostering a culture of innovation and excellence.
- Risk Management: Identify potential biases and security vulnerabilities in AI systems and implement mitigation strategies.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field with a focus on AI/ML.
- Experience: Minimum of 6+ years of professional experience in software engineering and machine learning.
- Core Skills: Proficiency in Python, PyTorch, and TensorFlow. Deep understanding of Deep Learning principles and neural network architectures.
- NLP Expertise: Strong background in Natural Language Processing (NLP), specifically in transformer models (BERT, GPT, LLaMA).
- System Design: Proven track record of designing distributed systems and cloud-native applications on AWS or Azure.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
- Future-Forward Mindset: Demonstrated interest in emerging trends such as Multimodal AI and Edge Computing.