Drive innovation, mentor engineering teams, and collaborate with cross-functional stakeholders to push the boundaries of AI capabilities.
Be a technical leader, driving thought leadership, designing and implementing large scale Agentic distributed systems.
Influence and engage senior stakeholders on modern development best practices.
Help engineers create adaptable software that can rapidly change as the technology evolves.
Bring a strong risk and growth mindset to the team, driving the adoption of DevSecOps mentality.
Deliver stable platforms for internal consumers despite constant underlying technology changes.
Shift between "business" solution development and "platform" development with tailored communication.
Partner with product and engineering stakeholders of different seniority levels to influence and educate them on Gen AI solution principles and practices.
Coach and mentor other team members by normalizing best practices and hard-earned learnings.

Proven experience in full-stack software engineering and leading impactful projects
Strong skills in .NET, C#, TypeScript, and DevOps practices
Expertise in optimizing AI inference and training pipelines
Knowledge of distributed storage, data pipelines, and scalable architectures
Contributions to open-source AI/ML projects or published research
Curiosity about Generative AI (e.g., transformers, LLMs, diffusion models)
A risk-aware mindset and sound judgment in complex environments.

Chief Engineer – Architecture, Cloud and Operations

Key skills