• 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.

• Lead the design and implementation of complex ML/AI systems end-to-end, owning architecture decisions and driving solutions from research through production at scale • Build and evolve scalable ML platforms, pipelines, and infrastructure that support reliable, repeatable model development and deployment across teams • Set the standard for AI-forward engineering, using tools like Claude and Cursor with sophistication and helping the team adopt them effectively • Partner with product, engineering, and leadership to shape AI strategy and align technical direction with business outcomes • Translate complex AI tradeoffs, risks, and opportunities into clear narratives that drive decision-making across technical and non-technical stakeholders • Lead design reviews and technical discussions, raising the bar for engineering rigor and constructive challenge across the team • Define AI architecture and engineering standards, bringing depth on tradeoffs, long-term implications, and responsible AI practices • Mentor and grow junior and mid-level engineers, multiplying impact through coaching, code reviews, and pairing on hard problems • Take ownership of the most ambiguous and highest-stakes pieces of work, driving them through to production with care for reliability, cost, and safety.

• Own the end-to-end delivery of AI-powered applications • Partner with clients and internal stakeholders to define product requirements and delivery priorities • Translate business needs into actionable technical plans for engineering teams • Coordinate cross-functional teams to deliver AI solutions on time and with high quality • Leverage AI tools to improve planning, documentation, prototyping, and delivery workflows • Continuously identify opportunities to incorporate AI into products and internal processes • Track project progress, remove blockers, and communicate status to stakeholders • Drive rapid iteration and continuous improvement throughout the product lifecycle