remoteonsite
Generative AI Architect - Empower
AI Engineer
Lead the design and implementation of enterprise‑grade Generative AI solutions, shaping model strategy, prompt frameworks, and cloud‑native pipelines to drive innovative financial products.
About the role
Key Responsibilities
- Define the end‑to‑end architecture for Generative AI platforms, including model selection, fine‑tuning, and deployment strategies.
- Collaborate with product, data, and engineering teams to translate business requirements into scalable AI solutions.
- Design and implement prompt engineering frameworks and evaluation metrics to ensure high‑quality model outputs.
- Lead the integration of AI services with cloud infrastructure (AWS/GCP), ensuring security, reliability, and cost efficiency.
- Mentor engineering teams on best practices for AI model lifecycle management, monitoring, and continuous improvement.
Requirements
- 5+ years of experience designing and delivering AI/ML systems, with a focus on Generative AI or Large Language Models.
- Strong proficiency in Python and modern ML libraries (e.g., PyTorch, TensorFlow, Hugging Face).
- Hands‑on experience with cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker).
- Proven ability to create prompt engineering pipelines and evaluate model performance at scale.
- Excellent problem‑solving skills and the ability to communicate complex technical concepts to cross‑functional stakeholders.
Skills
pythonmachine learning