• Design, develop, and operate large-scale, high-performance infrastructure that powers Confluent Cloud. • Build foundational software to improve reliability, scalability, and efficiency across cloud environments. • Work on distributed systems challenges such as consensus algorithms, failover strategies, and resource allocation. • Collaborate with teams across Confluent to optimize and enhance infrastructure for real-time data streaming use cases. • Troubleshoot and improve system reliability, observability, and performance across multiple cloud providers (AWS, Azure, GCP).

• Design, implement and deliver scalable AI-centric software systems. • Drive the development of agentic AI capabilities for identifying vulnerabilities, automating penetration testing processes, workflow optimization and enhancing threat intelligence. • Own and drive the end-to-end development of product features from ideation to production deployment and monitoring. • Actively contribute to and drive the design and implementation of AI-enabled systems, promoting effective SDLC processes. • Lead technical discussions, code reviews and design sessions, sharing your expertise to uplift the team's capabilities. • Provide mentorship and support to junior engineers, encouraging professional growth and development. • Collaborate closely with cross-functional teams to integrate AI capabilities into broader systems and applications.

• Set and lead the storytelling strategy for Pfizer’s AI-native engineering transformation, translating platform capabilities and engineering impact into narratives that resonate across the organization and shape how executive leadership understands the value being created. • Define and lead the strategic approach to high-impact live moments (showcases, demo days, and events) that put builders’ work in front of peers and senior stakeholders • Deliver a regular cadence of flagship storytelling pieces that raise the visibility and credibility of the team’s work and influence executive leadership’s continued confidence and investment. • Establish and lead a systematic communications operating model across the organization, including a shared content calendar, reliable content-sourcing pipelines from engineering teams, and clearly defined roles and responsibilities within the team. • Own the storytelling and communications budget, resourcing a core team supplemented by contract talent to deliver exceptional creative output. • Directly lead, coach, and develop a high-performing storytelling team, complemented by contract and agency talent. Setting clear goals and priorities, managing performance, and building the team’s bench strength and capabilities over time. • Own the creative agency relationship lifecycle. From sourcing and selection through briefing, creative direction, and ongoing performance management to ensure external partner consistently deliver exceptional work. • Apply an audience-first approach to content strategy, tailoring formats, channels, and creative execution to the preferences and needs of each target audience, from individual engineers to the executive leadership team. • Build and leverage strong relationships across engineering and senior leadership to source stories directly from the work, understanding what is being built, for whom, and why it matters. Use that insight to shape strategic communications priorities. • Establish and track success measures focused on builder engagement, community growth, and leadership confidence, and use these insights to inform team strategy and continuous improvement. • Anticipate and manage the organizational change involved in shifting how Pfizer engineers work and are perceived, preparing engineering and business stakeholders across the organization for new ways of working.

• We are looking for AI-first engineers who use Generative AI as a foundation of software engineering. • This role applies AI across the Product Development Lifecycle, from requirements and design to deployment and operations. • You will design and build AI Agents, apply prompting techniques, and implement architectures like RAG. • You will collaborate closely with product and engineering teams to embed AI into daily workflows. • Translate product and engineering challenges into AI solutions. • Build and deploy AI Agents with reasoning and memory integration. • Apply prompt engineering and RAG to real-world use cases. • Collaborate with teams to embed AI into requirements, coding, testing, and operations. • Prototype and test AI solutions, balancing experimentation with production readiness. • Support demonstrations of AI use cases for clients and internal stakeholders. • Stay current with advances in Generative AI and bring them into practice. • Communicate findings and trade-offs clearly in English to both technical and business audiences.