Job Description
Are you ready to define the technological landscape for the future? Nexus Core Systems is seeking a visionary AI Architect (2026 Roadmap) to lead our engineering initiatives. We are building the infrastructure for the next generation of intelligent agents and generative workflows, with a specific focus on the trajectory toward 2026.
We are looking for a technical leader who understands not just the code, but the trajectory of AI evolution. If you are passionate about shaping the future of software and have a deep understanding of Large Language Models (LLMs) and autonomous agents, this is the role for you.
Why Join Nexus Core Systems?
- Work on cutting-edge Generative AI applications that define the next era of tech.
- Shape the strategic roadmap for AI deployment in enterprise environments.
- Competitive compensation package including equity and health benefits.
- Collaborate with a world-class team of data scientists and engineers.
Responsibilities
- Design and deploy scalable machine learning models and pipelines tailored for the 2026 tech stack, focusing on efficiency and scalability.
- Collaborate with data scientists to optimize inference speeds and reduce latency in real-time applications.
- Oversee the end-to-end MLOps lifecycle, from data ingestion to model serving and monitoring.
- Drive innovation in Generative AI applications, focusing on hallucination reduction, safety, and ethical AI usage.
- Lead code reviews and mentor junior engineers to maintain high technical standards and architectural integrity.
- Translate complex AI concepts into actionable technical requirements for product and business stakeholders.
Qualifications
- Master’s degree in Computer Science, Artificial Intelligence, or a related field (or equivalent professional experience).
- 5+ years of experience in software engineering with a strong focus on AI/ML architecture.
- Proficiency in Python, PyTorch, TensorFlow, and modern MLOps tools (Kubernetes, MLflow, Airflow).
- Deep understanding of Natural Language Processing (NLP), LLMs, and vector databases.
- Experience architecting systems capable of handling high-throughput data streams and edge computing.
- Strong problem-solving skills and the ability to thrive in a fast-paced, innovative environment.