ROLE SUMMARY

We are seeking a skilled Software Engineer who will design, build, and maintain software systems that deliver business value. In this role, you will focus on code quality, architecture decisions, and reliable delivery while leveraging AI tools to enhance productivity. You will verify and review AI-generated code to ensure it meets our quality standards.

In this forward-deployed role, you will be embedded directly with business units including Commercial, Manufacturing, and R&D. You will operate like a "startup CTO," bridging the gap between building products and solving real business problems through rapid solution delivery and deep domain expertise. As part of the discovery-to-scale pipeline, you will identify recurring patterns and hand off validated solutions to Platform Engineers for generalization into enterprise capabilities.

This role encompasses multi-team initiatives with area-wide impact. You will set own direction within broader strategic goals, influence teams in your area and be recognized as a domain expert. You will handle very high complexity driving through ambiguity to deliver results.

ROLE RESPONSIBILITIES

Business: Drive business outcomes through technical solutions across your area, influence product roadmaps, and partner effectively with business stakeholders

Delivery: Lead technical delivery of complex projects across multiple teams, unblock others through hands-on contributions, and ensure engineering quality

Machine Learning: Architect end-to-end ML systems across teams, handle challenging modeling scenarios, mentor engineers on ML practices, and establish ML standards for your area

Artificial Intelligence: Design AI-augmented engineering workflows for your area, evaluate new AI tools, train engineers on effective AI usage, and balance speed with verification

People: Coach multiple engineers on career growth, lead hiring for technical roles across your area, and shape team technical culture

Scale: Design scalable components, make sound architectural decisions, ensure code quality, and review others' designs

Reliability: Design for reliability, implement comprehensive monitoring and alerting, lead incident response, and drive post-incident improvements

Process: Drive process efficiency within your team, coordinate cross-functional technical work, and lead retrospectives

Documentation: Design documentation strategies for your projects, ensure knowledge persists beyond individuals, and write specifications that enable effective collaboration

ROLE BEHAVIOURS

Don't Lose Your Curiosity: Drives team curiosity through challenging questions; creates environments where exploration and experimentation are encouraged; models problem discovery orientation; seeks out ambiguity rather than avoiding it

Own the Outcome: Drives accountability culture focused on outcomes not deliverables; owns business relationships and impact metrics across their function; makes trade-offs between custom solutions and generalizable work; there is no "I must run this by X"; ensures verification rigor for AI-generated code

Be Polymath Oriented: Bridges gaps between engineering, design, business, and science; rapidly immerses in new domains; speaks the language of Commercial, Manufacturing, or R&D; makes better decisions by understanding broader context

Communicate with Precision: Separates requirements, designs, and tasks with precision; enables AI to generate accurate code through clear specifications; translates between technical and business language; facilitates productive discussions

Think in Systems: Maps complex system interactions across technical and business domains; anticipates cascading effects; designs systems that degrade gracefully; understands how technology changes impact business operations

PRACTITIONER-LEVEL SKILLS

AI-Augmented Development: You optimize AI tool usage across teams in your area, train engineers on AI-augmented workflows, evaluate new AI development tools, and establish practices that balance AI speed with verification rigor.

Business Immersion: You immerse in operations until you think like an insider. You rapidly acquire domain expertise through direct observation, translate between business and engineering seamlessly, and mentor engineers in your area on immersion.

Data Integration: You navigate complex enterprise data landscapes across teams, build relationships to gain data access, handle undocumented schemas through investigation, and build robust, maintainable integration solutions. You mentor engineers in your area on data integration challenges.

Full-Stack Development: You build complete applications rapidly across any technology stack for teams in your area. You select the right tools for each problem, balance technical debt with delivery speed, and mentor engineers on full-stack development.

Model Development: You design end-to-end ML systems for complex problems across teams, handle challenging modeling scenarios (imbalanced data, concept drift), mentor engineers in your area, and establish ML practices.

Model Fine-Tuning: You architect fine-tuning pipelines for complex use cases across teams, implement advanced techniques (LoRA, PEFT, multi-task learning), mentor engineers on fine-tuning practices, and establish model customization standards.

Multi-Audience Communication: You influence through communication at all levels—from frontline to executive. You handle difficult conversations skillfully, train engineers in your area on effective communication, and represent teams across the function.

Problem Discovery: You seek out undefined problems rather than avoiding them. You embed with users to discover latent needs, coach engineers in your area on problem discovery techniques, and turn ambiguity into clear problem statements.

Rapid Prototyping & Validation: You lead rapid delivery initiatives across teams in your area, coach on prototype-first approaches, establish trust through consistent fast delivery, and define clear criteria for prototype-to-production transitions.

Retrieval Augmentation: You architect RAG systems for complex use cases across teams, implement advanced techniques (hybrid search, reranking, query expansion), mentor engineers on RAG best practices, and establish RAG standards.

Stakeholder Management: You influence senior stakeholders effectively across your area, manage complex stakeholder landscapes with competing agendas, build trust rapidly with new stakeholders, and shield teams from organizational friction.

Team Collaboration: You build high-performing teams across your area, navigate complex interpersonal dynamics, foster psychological safety, and create environments where diverse perspectives are valued and heard.

WORKING-LEVEL SKILLS

AI Evaluation & Observability: You design evaluation frameworks with custom evaluators tailored to your use case. You build golden datasets, establish annotation workflows with clear rubrics, and run experiments to compare prompt and model changes systematically.

AI Literacy: You evaluate AI solutions critically for specific use cases. You understand bias, fairness, and hallucination risks. You make informed decisions about when AI helps vs when traditional approaches are better.

Architecture & Design: You design components and services independently for moderate complexity. You make appropriate trade-off decisions, document design rationale, and consider AI integration points in your designs.

Cloud Platforms: You design cloud-native solutions, manage infrastructure as code, implement security best practices, and make informed service selections. You troubleshoot cloud-specific issues.

Code Quality & Review: You produce consistently high-quality, well-tested code. You review AI-generated code critically and never ship code you don't fully understand. You identify edge cases and ensure adequate test coverage.

Developer Experience: You design golden paths—opinionated, well-documented workflows developers can follow with minimal cognitive load. You conduct user research, create self-service capabilities, and build for Day 50, not just Day 1.

DevOps & CI/CD: You build complete CI/CD pipelines end-to-end, manage infrastructure as code, implement monitoring, and design deployment strategies for your services.

Knowledge Management: You design knowledge structures for discoverability, ensure knowledge accessibility across teams, facilitate knowledge sharing sessions, and reduce single-person dependencies.

Lean Thinking & Flow: You optimize team processes systematically, measure and improve cycle time, remove bottlenecks proactively, and deliver rapidly while maintaining quality.

Pattern Generalization: You extract reusable components from field solutions, design appropriate abstractions that balance flexibility with simplicity, and collaborate with FDEs to validate generalized solutions in new contexts.

Site Reliability Engineering: You design observability strategies for your services, lead incident response, implement resilience testing, and conduct blameless post-mortems. You balance reliability investment with feature velocity.

Technical Debt Management: You prioritize debt systematically based on risk and impact, balance debt reduction with feature work, and make pragmatic trade-offs. You know when to take on debt intentionally.

Technical Writing: You create comprehensive documentation for complex systems. You write precise specifications that enable accurate AI-generated code, establish documentation practices for your projects, and ensure docs are discoverable.

QUALIFICATIONS

Bachelor's degree in Computer Science, Engineering, or related field with 7+ years of relevant experience.

Deep technical expertise with a proven track record in developer advocacy, community building at scale, and organization-wide engineering culture leadership.

Please apply by sending your CV and a motivational letter in English

Work Location Assignment: Hybrid

Purpose 

Breakthroughs that change patients' lives... At Pfizer we are a patient centric company, guided by our four values: courage, joy, equity and excellence. Our breakthrough culture lends itself to our dedication to transforming millions of lives.  

Digital Transformation Strategy

One bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience.

Flexibility  

We aim to create a trusting, flexible workplace culture which encourages employees to achieve work life harmony, attracts talent and enables everyone to be their best working self. Let’s start the conversation!  

Equal Employment Opportunity 

We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating this, in all its forms – allowing for us to be as diverse as the patients and communities we serve. Together, we continue to build a culture that encourages, supports and empowers our employees.

Disability Inclusion

Our mission is unleashing the power of all our people and we are proud to be a disability inclusive employer, ensuring equal employment opportunities for all candidates. We encourage you to put your best self forward with the knowledge and trust that we will make any reasonable adjustments to support your application and future career. Your journey with Pfizer starts here!

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