Job Description
Are you ready to build the future? Nexus Future Labs is seeking a visionary Generative AI Solutions Architect to lead our next-generation AI initiatives. As we look toward the technological landscape of 2026, we need a pioneer who can bridge the gap between complex deep learning models and scalable enterprise solutions.
In this role, you will define the architectural standards for our AI infrastructure, deploying state-of-the-art LLMs (Large Language Models) that power the next wave of productivity and creativity. You will work in a dynamic, high-performance environment where your insights will directly shape our product roadmap and technical strategy.
Key Highlights:
• Competitive base salary and equity package.
• Work with cutting-edge technologies in a remote-first culture.
• Opportunity to mentor junior engineers and shape team culture.
Responsibilities
- Design and implement robust, scalable architectures for Generative AI applications and LLM pipelines.
- Oversee the end-to-end lifecycle of AI model deployment, ensuring high availability and low latency.
- Collaborate with cross-functional teams (Product, Data Science, Engineering) to translate business needs into technical AI roadmaps.
- Optimize model performance and resource utilization to reduce operational costs.
- Establish best practices for data governance, security, and ethical AI usage.
- Stay abreast of the latest research in Natural Language Processing (NLP) and multimodal AI to drive innovation.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Proven experience designing and deploying Large Language Models (LLMs) in production environments.
- Strong background in cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Deep understanding of MLOps principles and CI/CD pipelines for machine learning.
- Excellent problem-solving skills with the ability to navigate ambiguity in fast-paced settings.
- Master’s degree in Computer Science, Artificial Intelligence, or a related technical field is highly preferred.