AI Support Engineer

Location: Hybrid (3 days on-site in Guadalajara, MX; 2 days remote)

About AstraZeneca

AstraZeneca is a global, science-led biopharmaceutical company focused on the discovery, development and commercialisation of life-changing medicines. Our Enterprise AI team delivers the AI app store, reusable AI models and ready-to-use ML platforms that power everything from early-stage drug discovery to patient-safety systems.

Why this role?

You’ll be the first line of support for the AI services that thousands of scientists and engineers rely on every day. Your work will keep critical machine-learning workloads running smoothly—ultimately accelerating the delivery of new medicines to patients worldwide.

What you’ll do

• Act as the L1 / L2 first responder for incidents, service requests and questions related to our AI platforms (Kubernetes, Kubeflow, ArgoCD, etc.).
• Troubleshoot and resolve issues spanning development, staging and production environments in AWS.
• Collaborate daily with Data Scientists, ML Engineers and DevOps teams to triage problems, identify root causes and implement fixes.
• Monitor platform health using Kibana, Grafana and Prometheus; automate alerting and runbooks where possible.
• Contribute to infrastructure-as-code (Terraform, CloudFormation or similar) to keep environments reproducible and compliant.
• Work within security and data-privacy guardrails, partnering closely with Cyber-Security, Compliance and GxP teams.
• Continuously improve support processes, documentation and tooling in an Agile, “production-first” culture.

Required qualifications

• BSc / MSc or equivalent experience in Computer Science, Engineering or related field.
• 5–7 years of hands-on experience with Kubernetes-based stacks (Kubeflow, ArgoCD, container orchestration).
• 5+ years developing production software in Python (other languages welcome).
• Proven track record delivering ML / data-science workloads at scale on AWS using infrastructure-as-code.
• Familiarity with DevOps automation pipelines (GitHub Actions, GitLab CI, Jenkins, etc.).
• Experience in a formal support environment (ITIL or similar) and working in Agile teams.
• Excellent communicator who can translate complex technical issues for diverse audiences.

Nice-to-have

• Retrieval-Augmented Generation (RAG) or other GenAI implementation experience.
• Natural-Language Processing (NLP) background.
• Exposure to Dataiku or similar data-science platforms.
• Prior work on GxP-regulated or life-science systems.

How we work

We believe face-to-face collaboration fuels innovation, so we meet in the office at least three days per week and offer flexible remote work for the other two. Expect a fast paced, encouraging environment with clear impact—your solutions keep life-saving AI systems online.

What’s in it for you?

• A chance to craft enterprise-scale AI platforms that touch every stage of drug development.
• Support from a diverse, multidisciplinary team of ML, software and platform engineers.
• Competitive salary, bonus and benefits package.
• Continuous learning budget, internal tech communities and dedicated career-growth pathways.

Ready to apply?

Click “Apply” and submit your CV. If your profile aligns, our recruitment team will contact you to discuss next steps. Join us and help turn ground breaking AI into life-changing medicines.