Lead Python AI Principal Engineer; Hands-On), SVP

Position: Lead Python AI Principal Engineer (Hands-On), SVP
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* Lead the end-to-end development of highly complex AI solutions, infrastructure, and architecture.
* Lead and guide a team of engineers and data scientists, reviewing designs and code to uphold the highest levels of engineering standards.
* Translate ambiguous product or business problems into clear technical direction, defining success metrics for engineering and data science teams.
* Design robust model architectures, retrieval strategies, prompting/orchestration layers, and evaluation frameworks that meet product, reliability, and scalability requirements.
* Engage with data-science, technical, and business stakeholders to define and architect solutions for key use-cases across our lines of business.
* Actively contribute to software development, both as a hands-on coder and as a reviewer.
* Build and maintain core Python-based Generative AI components, including RAG pipelines, model wrappers, orchestration logic, and data loaders using FastAPI, ADK, and internal libraries.
* Ensure robust error handling, observability, and test coverage across all codebases.
* Manage executive stakeholder relationships in technology, acting as a partner and trusted advisor.
* Manage multiple concurrent initiatives and projects of varying sizes and complexity.
* 6+ years' experience in the software industry, with proven success in a senior position such as Principal Engineer or Architect.
* 3+ years' experience serving as a people manager.
* Highly experienced in delivering complex technical solutions to production, preferably within the Python and AI/ML ecosystem.
* Proficiency in programming languages such as Python.
* Passion for and proven hands-on experience integrating with AI/ML technologies.
* Experience with cloud architectures and public cloud offerings.
* A strong and diverse technical background, with the ability to quickly learn new technologies and influence highly skilled engineering teams.
* Excellent communication, leadership, and organizational abilities.
* Excellent analytical and problem-solving skills with the ability to think strategically.
* Experience in the financial industry is a major advantage.
* Bachelor's degree/University degree or equivalent experience is required.
* Master's degree is preferred.