About the Role

Jackson Green Recruitment is seeking a Principal Senior AI Research Engineer for a full-time position in Riyadh, Saudi Arabia. This is a frontier-level individual contributor role with a focus on advanced AI systems for energy. The successful candidate will join a Saudi technology and engineering company that develops advanced systems across artificial intelligence, energy, critical infrastructure, security, and industrial technology.

Role Purpose and Scope

This position is designed to help establish and lead the technical direction of a frontier AI research program, specifically as a Principal AI Research Engineer specializing in Energy Systems. The role is distinct from conventional machine learning engineering, operating at the intersection of advanced research, scientific computing, energy-system intelligence, and large-scale AI engineering. The company is expanding its operations with a multidisciplinary AI laboratory in Europe, bringing together advanced AI researchers, mathematicians, energy specialists, AI engineers, and software developers.

Key Responsibilities

• Define and lead research programs at the intersection of artificial intelligence, applied mathematics, scientific computing, and energy systems.
• Develop novel architectures, algorithms, training strategies, and evaluation methodologies for complex energy and industrial problems.
• Research advanced approaches including physics-informed neural networks, graph neural networks, neural operators, probabilistic modelling, representation learning, reinforcement learning, control-aware learning, and foundation models for time-series and sensor data.
• Design scientifically rigorous experiments, benchmarks, ablation studies, and validation protocols.
• Translate successful research into reliable prototypes and production-grade AI systems.
• Lead and mentor AI research engineers, machine learning engineers, and supporting AI engineers.
• Help shape long-term AI research strategy, compute strategy, and technical roadmap.

Required Experience and Skills

Candidates should possess over 10 years of experience in a relevant field. The role requires the ability to investigate new AI methodologies, build experimental systems, and validate them against real-world energy data. A key aspect involves leading the transition of successful research into secure, production-grade solutions deployed on private GPU infrastructure. The Principal Senior AI Research Engineer will also serve as a technical leader, mentoring team members and setting scientific and engineering standards.

Technical Environment

The technical stack is evolving, and the successful candidate will significantly influence its direction. Current technologies include:

• Programming languages and frameworks: Python, PyTorch , JAX.
• Data science libraries: NumPy, SciPy, Pandas, Polars, scikit-learn, XGBoost, LightGBM.
• Specialized AI tools: PyTorch Geometric or equivalent graph-learning frameworks, probabilistic programming, Bayesian modelling tools, optimization frameworks (*, Pyomo, CVXPY, OR-Tools).
• MLOps and infrastructure: MLflow for experiment tracking, model lineage, and registry management; Kubeflow Trainer and Kubeflow Pipelines.
• Development practices: Git, modern code-review workflows, CI/CD for AI and scientific-computing workloads, data and model versioning, automated evaluation, and regression testing.

While not expected to have used every listed technology, candidates must demonstrate deep expertise in the underlying principles and the ability to rapidly evaluate and adopt appropriate tools.

Work Type and Location

This is a full-time position based in Riyadh, Saudi Arabia. The role requires a minimum of 10 years of relevant experience.