Principal AI Engineer

Principal AI Engineer

We are seeking a Principal AI Engineer to oversee AI projects and act as a bridge between business customers and the technical team. You will collaborate closely with partners to estimate planand implement AI solutions that align with business objectives. Your strong technical background will

enable you to anticipate risks understand challenges and propose effective solutions.

Excellent communication skills are essential for adapting to various technical levels and guiding both technical and nontechnical team members.

Key Responsibilities

Understand project risks requirements and dependencies; anticipate problems andstrategically mitigate them.

Provide consultancy to business customers to estimate prioritize and implement projectseffectively.

Engage internal collaborators and external partners to ensure the successful delivery of AIsolutions.

Collaborate with the innovation team to propose and create strategic technical capabilities.

Estimate plan and supervise technical work; mentor junior team members and support non1technical partners.

Work within an agile framework and collaborate with multifunctional teams to align AI solutions with business goals.

Document processes models and key findings; contribute to building internal AI capabilities.

Ensure AI models adhere to ethical standards privacy regulations and fairness guidelines.

Key Projects

AIPowered Drug Development: Develop and deploy AI models to optimize drug development processes.

Autonomous Manufacturing: Implement AIdriven solutions to enhance manufacturing efficiencies.

SelfHealing Supply Chain: Apply AI techniques to improve supply chain management and logistics.

Essential Qualifications Required:

Bachelors degree or equivalent experience in operations research mathematics computer science or a related quantitative field.

Considerable professional experience delivering and leading ML projects

Advanced expertise in Python and familiarity with database systems (e.g. SQL NoSQL Graph

databases).

Proven proficiency in at least three of the following domains:

o Generative AI: Experience with LLMs/transformer models AWS Bedrock SageMaker.

o Computer Vision: Image classification and object detection.

o MLOps: Deploying models into production within the AWS ecosystem.

o Optimization: Production scheduling and planning.

o Traditional Machine Learning: Time series analysis unsupervised anomaly detection analysis of highdimensional data.

Proficiency with ML libraries such as scikitlearn pandas TensorFlow or PyTorch.

Experience in deploying ML/Generative AI services and working with complex datasets.

Strong understanding of software development algorithms optimization and scaling.

Excellent communication and business analysis skills.

Desired Qualifications :

Masters or PhD in a relevant quantitative field.

Experience with AWS cloud services and cloud engineering.

Knowledge of Snowflake.

Software development experience (e.g. ).

Location

Barcelona Spain.

About AstraZeneca

AstraZeneca is a global innovationdriven BioPharmaceutical business that focuses on the discovery development and commercialisation of prescription medicines for some of the worlds most serious

disease. But were more than one of the worlds leading pharmaceutical companies.

At AstraZeneca were dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. Theres no better place to make a difference to medicine patients and society. An inclusive culture that champions diversity and collaboration. Always committed to lifelong learning growth and development.

About the Operations IT team Operations IT is a global capability supporting the Global Operations organization across Pharmaceutical Technology Development Manufacturing & Global Engineering Quality Control Sustainability Supply Chain Logistics and Global External Sourcing and Procurement.

We operate from key hubs in the UK Sweden the US China and our Global Technology Centers in India and Mexico. Our work directly impacts patients by transforming our ability to develop lifechanging medicines combining innovative science with leading digital technology platforms and data

Date Posted

Closing Date

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds with as wide a range of perspectives as possible and harnessing industryleading skills. We believe that the more inclusive we are the better our work will be. We welcome and consider applications to join our team from all qualified candidates regardless of their characteristics. We comply with all applicable laws and regulations on nondiscrimination in employment (and recruitment) as well as work authorization and employment eligibility verification requirements.