Lead Consultant - Principal AI Engineer

Job Title : Lead Consultant - Principal AI Engineer

Career Level - E

Introduction to role

The Senior Full Stack Engineer will design, develop, and deploy AI-driven applications, while also building and maintaining robust full stack solutions using Python, React JS, on AWS cloud platform. In this role, you will apply strong software engineering skills—including DevOps and MLOps best practices—to deliver scalable, secure, and high-performing AI products. You will collaborate with cross-functional teams to tackle complex challenges in areas such as drug development, manufacturing, and supply chain optimization, ensuring seamless end-to-end solutions that align with strategic business objectives.

Accountabilities

• Full Stack Development: Build and maintain web applications using Python (backend) and React JS (frontend), integrating AI/ML capabilities into the product stack.

• AWS & Cloud Integration: Leverage AWS services (including Bedrock, SageMaker, Lambda, ECS/EKS) to deploy, scale, and monitor AI models and full stack applications in the cloud.

• DevOps & MLOps: Implement CI/CD pipelines, automated testing, containerization, and infrastructure-as-code to ensure reliable and efficient deployment of AI services.

• Collaboration & Leadership: Work with cross-functional teams to gather requirements, define project scopes, and deliver solutions aligned with business needs. Mentor junior engineers and data scientists, fostering a culture of innovation and best practices.

• Performance & Optimization: Monitor and optimize both AI models and application layers to improve response times, scalability, and resource utilization.

• Documentation & Knowledge Sharing: Maintain comprehensive documentation on system architecture, data workflows, and AI model performance. Contribute to building internal AI capabilities by sharing best practices and lessons learned.

Key Projects

• AI Powered Drug Development - Develop and deploy AI models to optimize drug development processes.

• Autonomous Manufacturing - Implement AI-driven solutions to enhance manufacturing efficiencies.

• Self-healing Supply Chain - Apply AI techniques to improve supply chain management and logistics.

Essential Skills/Experience

• Bachelor's in operations research, mathematics, computer science, or related quantitative field.

• Hands-on experience with AWS services (e.g., Bedrock, SageMaker, Lambda, ECS/EKS), cloud architecture, and deployment strategies.

• Strong proficiency in Python and React JS, with solid understanding of software development patterns and best practices.

• Expertise in DevOps (CI/CD, Docker, Kubernetes) and MLOps (model versioning, monitoring, pipelines) within the AWS ecosystem.

• Hands-on experience industrializing GenAI, working with large and/or complex datasets.

• Excellent communication and problem-solving skills, with the ability to translate technical findings into actionable business insights.

Desirable Skills/Experience

• Master’s or PhD in a relevant quantitative field.

• Cloud engineering experience (AWS cloud services)

• Snowflake

• Software development experience (e.g. React JS, Node JS)

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

Make a meaningful impact on people's lives with life-changing medicines. Join the team where everyone feels a personal connection to the people that we impact. From our science labs to manufacturing at scale, we are committed to delivering at the highest quality. It's inspiring and rewarding work, influencing every part of the product lifecycle to deliver life-changing medicines. To ultimately make people's lives better—from patients and their families to all of us in society.

Ready to take on this exciting challenge? Apply now!

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 industry-leading 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 non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.