• Drive the technical vision and execution of advanced AI-powered solutions across multiple initiatives. • Design and implement scalable, secure, and high-performing systems that leverage large language models (LLMs), retrieval-augmented generation (RAG), and AI-driven services. • Lead technical strategy for GenAI-based products and platforms, ensuring alignment with enterprise architecture and business goals. • Design and implement core AI services, including model orchestration, prompt engineering frameworks, and inference pipelines. • Collaborate with data scientists and ML engineers to integrate LLMs and fine-tuned models into production systems. • Architect and deliver solutions for high-complexity Agile stories across multiple domains, ensuring scalability and resilience. • Mentor and guide engineers on modern AI development practices, including distributed systems, model deployment, and performance optimization. • Ensure compliance and security in AI solutions, including data privacy, responsible AI principles, and model governance. • Debug and resolve complex issues in distributed AI systems, ensuring minimal downtime and high availability. • Champion CI/CD and MLOps practices for continuous delivery of AI features and models. • Participate in hiring and talent development for the GenAI team. • Perform other related duties and activities as required.

• Have the freedom to leverage the right tools and languages to solve problems. • Develop and deploy software through an automated continuous delivery pipeline supporting over 200 production deployments a week. • See the impact of your work as it is put in front of millions of users. • Contribute to open source! We give back to the community whenever we can. • Participate as an empowered member of a collaborative Agile team to design, develop, and maintain high performance applications. • Leverage continuous deployment and test automation tools to deploy application changes to production multiple times per day. • Interact with internal and external customers to understand their needs and drive the development of web applications to meet those needs. • Implement rich, interactive web applications using the latest technologies, frameworks, and patterns.

• Work on core systems: data pipelines, semantic layers, RAG, AI evaluation, experimentation • Own problems end-to-end (design → production) • Talk directly to users to understand failure modes + edge cases • Help shape what we build next as we scale

• Develop and maintain web applications using modern frontend and backend technologies. • Collaborate with cross-functional teams to define, design, and deliver new features. • Ensure the performance, quality, and responsiveness of applications. • Write clean, maintainable, and efficient code. • Conduct code reviews and provide constructive feedback to team members. • Troubleshoot and debug applications. • Stay up to date with emerging trends and technologies in software development.