Lead Consultant - AI support engineer

Job Title: Lead Consultant - AI Support Engineer

Career Level - E

Introduction to Role:

The AI Support Team is responsible for supporting the level 1 and 2 post-production activities in the Enterprise AI team. As an Lead AI support engineer, you will be the first respondent for any issues/requests raised post-production by users of the Enterprise AI Services.

The Enterprise AI team aims to fulfil AstraZeneca’s ambition to use AI in every step of the value chain, from discovering new compounds to patient safety systems. The enterprise AI team consists of 3 verticals: Connected Intelligence, Reusable AI and AI Platforms, and AI Support. The verticals deliver the AI app store, AI models and ready-to-use platforms to data scientists across AZ. The AI support team will attend to the post-production activities of the 3 verticals.

We achieve this through technical leadership and agile-focused development, continuously evaluating the fast-moving advancements in Machine Learning tooling for challenges across AstraZeneca’s R&D, Commercial and Operations domains.

We are seeking an AI Support Engineer to join our AI Support Team. The ideal candidate will have industry-relevant experience delivering at scale Machine Learning or Data Science in the AWS cloud ecosystem.

You will be part of a collaborative team of multidisciplinary engineers and together have the chance to work on tools that will advance the standard of healthcare, improving the lives of millions of patients across the globe. Our data science platforms will support major AI initiatives such as clinical trial data analysis, knowledge graph analytics, patient safety systems, deep learning-led drug discovery, and software as a medical device system.

Key Accountabilities

• Collaborate with Data Scientists and Machine Learning Engineers from across the company to understand their challenges. You will need to work with them to triage and resolve issues ranging from developmental to production.
• Be a part of a high performing agile team, continuously improving AstraZeneca’s AI support offering and tooling
• Work closely and collaboratively with internal governance and compliance functions such as Cyber Security and Data Privacy to establish and work within security guardrails without obstructing end-user productivity.
• Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU), with the objective of guiding ML engineers during their use of AI platforms.
• Champion a “production first mindset” to ensure the necessary support for infrastructure and platforms is available to scale exploratory research to production.

Candidate Knowledge, Skills and Experience

• Minimum 12 - 15 years of experience in the IT industry and hold BE/B_Tech in Computer Science or related quantitative or analytical field.
• Minimum 5+ years of equivalent experience in supporting and managing AWS services and large Kubernetes clusters
• Experience working with Kubernetes and/or container-based application deployments.
• Experience administering a production cluster, with an understanding of operators, storage classes, and service meshes.
• Experience building and delivering software using Python and exceptional ability in other programming languages will be considered.
• Experience in working in a support environment or an understanding of ITIL framework
• Demonstratable experience deploying the underlying infrastructure and tooling for running Machine Learning or Data Science at Scale using Infrastructure as Code.
• Experience using DevOps to enable automation strategies.
• Experience working in an Agile team with knowledge or experience in product or platform-focused delivery.
• Experience in data science/ML journey, from model experimentation to industrialization.
• Experience working with internal security standards and frameworks, especially in medical, clinical, or pharmaceutical contexts.
• Experience working with GxP-compliant life science systems.
  
   

Required/Desired Certifications

• AWS Certified DevOps Engineer
• AWS Certified Developer
• AWS Solution Architect

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.