• Identify AI opportunities: Evaluate and prioritize opportunities to automate business processes using AI, intelligent workflows, and agent-based systems. • Design and ship applied AI solutions: Architect, build, and deploy AI solutions for high-value workflows including automation, document intelligence, decision support, and intelligent assistants. • Build agentic workflows: Design and implement AI agents and agentic workflows that orchestrate tools, APIs, reasoning steps, and business logic to automate complex processes at scale. • Own production systems: Develop services that meet high standards for scalability, resilience, performance, security, and availability. • Leverage knowledge graphs: Use knowledge graphs to enhance reasoning, entity relationships, context retrieval, and multi-step workflows. • Partner across functions: Collaborate with product, engineering, operations, and analytics partners to co-create scalable AI solutions and translate business needs into robust technical designs. • Mentor and up skill others: Coach engineers and scientists in AI, LLMs, and agentic workflow design through pairing, reviews, and architectural guidance. • Drive innovation: Explore new models, frameworks, and reasoning techniques and apply them thoughtfully to real-world challenges. • Influence architecture: Provide technical guidance on architecture, experimentation, and deployment within and across teams. • Experiment and evaluate rigorously: Run end-to-end experimentation, including hypothesis definition, measurement, validation, and iterative improvement in production environments. • Model best practices: Establish and promote engineering best practices for reliability, interpretability, safety, governance, and monitoring of production AI systems.

• Lead the design and development of scalable, secure applications across the stack—spanning modern React UIs to high-performance backend services. • Design and build architecture that supports AI/ML-powered features across user-facing and API surfaces. • Drive initiatives end-to-end—from ideation and planning to execution—by breaking down complex projects into MVPs and manageable, prioritized releases. • Collaborate with product and engineering leaders to align solutions with business objectives. • Ensure compliance with security best practices and data privacy regulations. • Mentor mid-level and junior engineers, fostering a culture of growth, learning, and technical excellence. • Evaluate and implement new technologies and tools to continuously improve our applications and development processes. • Communicate clearly, engage with stakeholders, product managers and cross-functional teams to align on goals, share progress and manage expectations.

• Improve Firefox development workflows to reduce time spent testing and debugging test failures as well as more integration/automation of workflows • Work with a geographically-distributed development team • Mentor other team members and be mentored by more senior team members • Collaborate with other teams by providing code review and technical direction • Look at data, make dashboards, identify trends in Firefox development workflow

• Improve Firefox development workflows to reduce time spent testing and debugging test failures as well as more integration/automation of workflows • Work with a geographically-distributed development team • Mentor other team members and be mentored by more senior team members • Collaborate with other teams by providing code review and technical direction • Look at data, make dashboards, identify trends in Firefox development workflow