Manager AI & Data Architect (AI Engineer)
- Greece - Thessaloniki Pylaia
- India - Chennai
- Global Any Pfizer Site
ROLE SUMMARY
Pfizer’s purpose is to deliver breakthroughs that change patients’ lives. Research and Development is at the heart of fulfilling Pfizer’s purpose as we work to translate advanced science and technologies into the therapies and vaccines that matter most. Whether you are in the discovery sciences, ensuring drug safety and efficacy or supporting clinical trials, you will apply cutting edge design and process development capabilities to accelerate and bring the best in class medicines to patients around the world.
Pfizer is seeking a highly skilled and motivated AI and Data Architect and hands-on AI engineering for AI-enabled data products and modern data platforms. The AI & Data Architect Manager designs and delivers cloud-scale data solutions (lake/warehouse/marts/APIs) and production AI capabilities (ML/GenAI/LLM patterns) that are reusable across the enterprise, ensuring strong engineering practices, testability, security, and operational excellence. This role demands a collaborative mindset, a passion for cutting-edge technology, and a commitment to improving patient outcomes. The role partners across Digital and business stakeholders to deliver measurable outcomes, and mentors engineers/contractors to raise technical standards and accelerate delivery.
ROLE RESPONSIBILITIES
Data Architecture & Platform Engineering Leadership
Lead data modeling and engineering across advanced data platforms to achieve digital outcomes, including solution designs for Cloud Data Lake, Data Warehouse, Data Marts, and Data APIs, with ownership of enterprise data quality standards across structured, semi‑structured, and unstructured data domains.
Snowflake & Cloud Data Ecosystem Delivery
Architect and deliver scalable cloud data solutions leveraging platforms such as Snowflake and associated orchestration/automation patterns; ensure performance, maintainability, reuse across the enterprise, and support for I‑ready workloads including feature and embedding storage.
Cloud Platform, Microservices & DevOps Architecture
Lead the design and implementation of cloud‑native architectures, including microservices‑based solutions, containerized workloads (e.g., Kubernetes), and DevOps practices.
Ensure data and AI platforms are deployable, scalable, and operable using modern CI/CD pipelines, infrastructure‑as‑code, and automated environment management
GenAI & AI/ML Solution Architecture and Implementation
Lead design and implementation of AI models and algorithms (GenAI/LLM-enabled and traditional ML patterns), including model selection/orchestration, agents, RAG-style patterns, and evaluation approaches as appropriate for regulated environments.
Engineering Excellence, CI/CD, Testing & Data Validation
Oversee development and execution of test plans/scripts and thorough data validation; implement automated build/test/deploy/monitoring for ETL pipelines and AI components in a CI/CD environment, including automated data quality checks and observability controls.
Operational Reliability & Issue Resolution
Drive root cause analysis for production data/AI issues; implement observability, monitoring, and preventative controls to improve quality, reliability, and consistency of data products, pipelines, and vector‑based AI systems.
Cross-Functional Delivery & Stakeholder Communication
Collaborate with backend engineering and other technical teams across Digital to deliver end-to-end implementations; document and present methodologies, findings, and outcomes to stakeholders, including data quality metrics and AI solution performance.
Vendor/Contractor Technical Leadership
Collaborate effectively with contractors and partners to deliver technical enhancements while maintaining architecture standards, documentation quality, and delivery cadence.
Provides guidance and may lead/co-lead moderately complex projects.
Continuous Improvement & Innovation
Stay current on AI/ML advancements and apply them to enterprise initiatives; identify reusable components and patterns that accelerate delivery across teams, including unstructured data processing and vector‑based retrieval approaches, that accelerate delivery across teams.
Education / Experience
Bachelor’s degree (Master’s preferred) in Computer Science, Data/AI/ML, Engineering, or related field.
4+ years in data engineering/architecture (or equivalent), including modern data warehousing, modeling, and transformations; 2+ years delivering GenAI & AI/ML solutions in production (preferred).
Technical (Must-Have)
Strong Python engineering (production coding, packaging, testing), plus strong SQL.
Snowflake: data modeling, performance patterns, security concepts, and operational usage.
Experience designing and operating cloud‑native platforms, including microservices architectures, containerization (e.g., Kubernetes), and DevOps practices such as CI/CD, automated deployments, and environment management.
Cloud architecture for data platforms (e.g., Azure/AWS), including storage, compute, identity, and networking fundamentals.
Building/operating ETL/ELT pipelines with CI/CD automation, monitoring, and data quality controls.
Demonstrated experience implementing enterprise data quality standards, including validation, observability, monitoring, and lineage across structured, semi‑structured, and unstructured data.
GenAI & AI/ML (Must-Have)
Experience delivering GenAI & AI/ML solutions end-to-end (feature/embedding generation, model integration, deployment, evaluation).
Familiarity with LLM concepts and practices (prompting, evaluation, orchestration), and responsible AI considerations for regulated environments.
Hands‑on experience with vector databases and embedding‑based retrieval patterns (e.g., semantic search, RAG, similarity matching).
Experience working with unstructured and semi‑structured data (documents, text, PDFs, logs, APIs) for analytics and AI use cases.
Leadership / Ways of Working
Proven ability to lead/co-lead moderately complex projects, mentor engineers, and guide contractors to deliver outcomes.
Strong communication skills: can translate technical decisions and tradeoffs to non-technical stakeholders; strong documentation discipline.
PREFERRED QUALIFICATIONS
Experience with agentic/LLM frameworks and enterprise GenAI patterns (e.g., LangChain, LlamaIndex, vector stores) and/or knowledge graph technologies.
Experience establishing AI architecture guardrails, patterns, and reusable components across domains.
Pharma/supply chain analytics experience (data products supporting planning, manufacturing, quality, logistics).
Experience deploying data and AI workloads using container orchestration platforms and operating them at scale in cloud environments.
Experience partnering with platform or infrastructure teams on cloud governance, security, and operational standards.
NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS
20% travel may be required based on delivery and project priorities
Work Location Assignment: Hybrid
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
Information & Business TechBreakthroughs that change patients’ lives
Research confirms what intuition tells us: that purpose-driven companies perform better, are more innovative, attract and retain the best people, and know how to unleash the power of those people. Pfizer’s purpose—Breakthroughs that change patients' lives—fuels everything we do and reflects our passion for building on our legacy as one of the greatest contributors of good to the world.
Each word in our purpose has meaning and reflects the value we strive to bring to patients and society:
“Breakthroughs” - These are the innovations, scientific and commercial, that we seek to deliver every day. All colleagues, regardless of role, level or location, strive for breakthroughs every day.
“Change” - We want to do more than simply improve patients’ medical conditions; we want to dramatically change their lives for the better.
“Patients’ lives” - We consider not only patients, but everyone they touch—including their families, caregivers, and friends—and everything they love to do. It’s an intentionally holistic view.
Our purpose ensures that patients remain at the center of all we do. We live our purpose by sourcing the best science in the world; partnering with others in the healthcare system to improve access to our medicines; using digital technologies to enhance our drug discovery and development, as well as patient outcomes; and leading the conversation to advocate for pro-innovation/pro-patient policies.
Every decision we make and every action we take is done with the patient in mind—and to nurture an environment where breakthroughs can thrive.
Our Values
To fully realize Pfizer’s purpose, we have established a clear set of expectations regarding “what” we need to achieve for patients and “how” we will go about achieving those goals.
The “how” is represented by four simple, powerful values—courage, excellence, equity, and joy—that define our company and our culture.
Courage: Breakthroughs start by challenging convention, especially in the face of uncertainty or adversity. This happens when we think big, speak up, and are decisive.
Excellence: We can only change patients’ lives when we perform at our best together. This happens when we focus on what matters, agree who does what, and measure our outcomes.
Equity: We believe that every person deserves to be seen, heard, and cared for. This happens when we are inclusive, act with integrity, and reduce healthcare disparities.
Joy: We give ourselves to our work, but it also gives to us. We find joy when we take pride, recognize one another, and have fun.
Pfizer Digital
Pfizer Digital takes immense pride in being at the forefront of innovation, harnessing cutting-edge smart technology that profoundly impacts the lives of our patients.
With the transformative potential of digital solutions, we revolutionize how we discover, develop, and deliver medicines, enabling us to achieve breakthroughs faster and more efficiently.
By streamlining and automating transactional processes, we create valuable time and resources, empowering our talented team to focus on meaningful work that truly makes a difference in healthcare and beyond.
Benefits at Pfizer
Pfizer offers competitive compensation and benefits programs designed to meet the diverse needs of our colleagues. Our Pay for Performance Philosophy and Practices reward colleagues based on the contributions they make to our business.
Our Competitive Benefits Programs help our colleagues by:
- Promoting Health and Wellness to help colleagues maintain and improve their physical and mental wellbeing. Pfizer offerings include health and disability insurance, preventative health programs, medical screenings, free or reduced-cost vaccinations, discounts on Pfizer products, mental health support, nutrition and fitness counseling and more.
- Strengthening Colleagues’ Financial Security by providing company contributions to retirement plans, life insurance and financial planning education to help colleagues achieve their financial goals.
- Providing Benefits and Time off for the Moments that Matter to ensure Pfizer colleagues have the time away from the office to recharge, recover and return to work as the best version of themselves. Vacation, Holiday time and Sick time are just the beginning, with a 12 week parental leave policy for both parents of a new born, 10 day of caregiver leave for those times when your family needs you whether it’s a child, spouse or parent, bereavement leave, and additional country-specific programs.
- And so much more, depending on your country and site, Pfizer offers childcare facilities or discount programs, on-site health and/or fitness centers, movement and mindfulness solutions, “Log in for your Day” work flexibility and so much more.
For U.S. based jobs, view an overview of Pfizer’s U.S. benefits program (opens in a new window)