PfizerSenior Manager, AI Solutions Engineer
ROLE SUMMARY
Do you want to make an impact on patient health around the world? Do you thrive in a fast-paced environment that brings together scientific, clinical, and commercial domains through engineering, data science, and AI? Then join Pfizer Digital’s Commercial Creation Center & CDI organization (C4) where you can leverage cutting-edge technology to inform critical business decisions and improve customer experiences for our colleagues, patients and physicians. Our collection of engineering, data science, and AI professionals are at the forefront of Pfizer’s transformation into a digitally driven organization that leverages data science and AI to change patients’ lives. The Commercial Analytics AI Solutions and Engineering (CAASE) team is a critical driver and enabler of Pfizer’s digital transformation, leading the process and engineering innovation to rapidly progress early AI and data science applications from prototypes and MVPs to full production and maintenance.
As a Senior Manager, AI Solutions Engineer, you will be a hands-on technical expert and tech lead within the CAASE team charged with architecting, implementing, enabling, and testing AI solutions and reusable AI components. You will identify, design, iteratively develop, and continuously improve reusable components for AI that accelerate use case delivery. You will implement best practices and maintain standards for AI application and API development, data engineering and data pipelining, data science and ML engineering, and prompt engineering to enable understanding and re-use, drive scalability, and optimize performance. In addition, you will be responsible for providing critical input into the AI ecosystem and platform strategy to promote self-service, drive productization and collaboration, and foster innovation, as well as ensuring the solutions are tested and will work reliably.
ROLE RESPONSIBILITIES
Architect and implement AI and ML solutions and reusable software components within the AWS cloud infrastructure; Ensure solutions meet the diverse needs of various use cases.
As a tech lead, enforce coding standards, best practices, and thorough testing (unit, integration, etc.) to ensure reliability and maintainability.
Define and implement robust API and integration strategies to seamlessly connect reusable AI components with broader systems.
Define and implement robust technical strategies in areas such as API integration to connect reusable AI components with broader systems, industrialized AI accelerators, and the delivery of scalable AI solutions.
Demonstrate a proactive approach to identifying and resolving potential system issues.
Train and guide junior developers on concepts such as data analytics, machine learning, AI, and software development principles, tools, and best practices.
Foster a collaborative learning environment within the team by sharing knowledge and expertise.
Act as a subject matter expert for solution engineering on cross functional teams in bespoke organizational initiatives by providing thought leadership and execution support for software development needs.
Direct research in areas such as data science, software development, data engineering and data pipelines, and prompt engineering, and contribute to the broader talent building framework by facilitating related trainings.
Communicate value delivered through reusable AI components to end user functions (e.g., Chief Marketing Office) and evangelize innovative ideas of reusable & scalable development approaches/frameworks/methodologies to enable new ways of developing AI solutions.
Provide strategic and technical input to the AI ecosystem including platform evolution, vendor scan, and new capability development.
Partner with AI use case development teams to ensure successful integration of reusable components into production AI solutions.
Partner with cross-functional team on end-to-end capability integration between enterprise platforms and internally developed reusable component accelerators (API registry, ML library / workflow management, enterprise connectors).
Partner with cross-functional team to define best practices for reusable component architecture and engineering principles to identify and mitigate potential risks related to component performance, security, responsible AI, and resource utilization.
BASIC QUALIFICATIONS
Bachelor’s degree in AI, data science, or computer engineering related area (Data Science, Computer Engineering, Computer Science, Information Systems, Engineering or a related discipline)
7+ years of work experience in data science or AI solution engineering, with a track record of building, deploying, and testing complex software systems
Demonstrated experience interfacing with internal and external teams to develop innovative AI and data science solutions
Experience working in a cloud-based analytics ecosystem (AWS, Snowflake, etc.)
Deep expertise spanning data science, solution architecture, hands-on development, and testing
Expert knowledge of backend technologies and API design principles
Proficient in writing clean, efficient, and maintainable code (Python, SQL)
Strong understanding of the Software Development Life Cycle (SDLC) and data science development lifecycle (CRISP)
Highly self-motivated to deliver both independently and with strong team collaboration
Ability to creatively take on new challenges and work outside comfort zone
Strong English communication skills (written & verbal)
PREFERRED QUALIFICATIONS
Advanced degree in Data Science, Computer Engineering, Computer Science, Information Systems or related discipline
Demonstrated technical leadership in AI or software engineering with deep expertise in data science or backend solution architecture, hands-on development, and testing
Experience in solution architecture and system design at scale
Experience in software/product engineering
Hands-on experience with API testing (e.g., model validation, drift detection, non-deterministic output testing)
Experience with load and resilience testing for AI/ML endpoints
Experience with CI/CD integration and automated testing pipelines
Strong hands-on skills in ML engineering and data science (Python, SQL, industrialized ETL software)
Experience with data science enabling technology, such as Dataiku Data Science Studio, AWS SageMaker or other data science platforms
Deep understanding of DevOps practices and toolchains
Hands-on experience with ML model lifecycle management (MLOps)
Experience with distributed systems and databases
Experience working in Agile teams, processes, and practices
Please apply by sending your CV 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!
Information & Business Tech