Job Description
Join the Architects of Tomorrow
Nexus Future Systems is pioneering the next generation of autonomous artificial intelligence. We are looking for a visionary Senior AI Architect to lead our 2026 roadmap initiatives. You will define the technical strategy for building scalable, agentic AI systems that reshape industries.
In this role, you won't just maintain legacy code; you will write the protocols for the future. You will work in a high-performance environment where innovation is not just encouraged, it's the standard. We offer a competitive salary, equity packages, and the opportunity to work with state-of-the-art infrastructure.
Why Join Us?
- Work on cutting-edge Agentic AI and LLM infrastructure.
- Competitive salary and equity package.
- Flexible remote-first culture with a hub in San Francisco.
- Top-tier health, dental, and vision coverage.
Responsibilities
- Architect Agentic Workflows: Design and implement end-to-end autonomous agent architectures that can reason, plan, and execute complex multi-step tasks.
- Model Optimization: Lead the deployment and optimization of Large Language Models (LLMs) for high-throughput, low-latency inference environments.
- Technical Strategy: Define the technical roadmap and engineering standards for the AI division, ensuring scalability and security.
- System Integration: Integrate AI models with legacy systems and third-party APIs to create seamless enterprise solutions.
- R&D Leadership: Conduct research into emerging AI paradigms, including Multimodal AI and Quantum-ready algorithms.
- Talent Mentorship: Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Mathematics, or a related field (or equivalent professional experience).
- Experience: 5+ years of professional experience in software engineering with a focus on Machine Learning and Artificial Intelligence.
- Core Tech: Deep proficiency in Python, PyTorch, TensorFlow, or JAX. Experience with vector databases (Pinecone, Milvus) is essential.
- AI Mastery: Strong understanding of Transformer architectures, RAG (Retrieval-Augmented Generation), and fine-tuning methodologies.
- Cloud Computing: Proven experience designing systems on AWS, GCP, or Azure with a focus on serverless and containerized environments.
- Soft Skills: Exceptional communication skills with the ability to translate complex technical concepts to non-technical stakeholders.