Senior AI Infrastructure & Platform Engineer
About this opportunity
Role Overview
We are looking for an experienced Senior AI Infrastructure & Platform Engineer to support the reliability, operation, and continuous improvement of enterprise AI and data platforms.
This role combines AI infrastructure, cloud/platform engineering, observability, and production support, with a strong focus on ensuring platform stability, operational readiness, and scalability. The engineer will work closely with China and global technology teams to support production AI capabilities and drive continuous platform improvement.
Key Responsibilities
AI Infrastructure & Platform Operations
Operate and maintain enterprise AI and data platform services across cloud, Kubernetes, databases, data platforms, and AI supporting services, ensuring availability, performance, capacity, security, and operational readiness.
Monitoring & Reliability Engineering
Build and improve monitoring, observability, alerting, and health-check capabilities using tools such as Grafana, CloudWatch, and Langfuse. Proactively identify reliability and performance risks and drive preventive improvements.
L2/L3 Technical Support & Problem Solving
Troubleshoot complex production issues across infrastructure, application, data, API, database, and integration layers. Conduct root cause analysis and drive permanent remediation for recurring or high-impact issues.
Platform Engineering & Continuous Improvement
Support platform configuration, integration, performance tuning, patching, upgrades, releases, and technical enhancements. Drive automation and engineering improvements to reduce manual operational effort.
Production Readiness & Collaboration
Partner with AI/Data Engineering, Product, Infrastructure, Global teams, and external technology partners to onboard new AI capabilities, manage production changes, maintain operational documentation, and ensure effective transition into BAU.
Qualifications & Technical Skills
Required
6+ years of experience in Platform Engineering, Cloud Infrastructure, DevOps/SRE, Data Platform, AI Platform, or enterprise production support.
Strong hands-on experience with AWS and Kubernetes/EKS.
Experience with monitoring and observability, such as Grafana, CloudWatch, application logs, metrics, and tracing.
Solid knowledge of Linux, networking, databases/SQL, APIs, and distributed applications.
Strong troubleshooting skills across infrastructure, platform, application, data, and integration layers.
Experience with scripting or automation using Python, Shell/Bash, SQL, or similar technologies.
Experience supporting complex, business-critical production environments.
Excellent written and verbal English communication skills, with the ability to independently communicate, troubleshoot, and collaborate with global engineering and technology teams.
Preferred
Experience supporting AI/ML or GenAI platforms in production.
Experience with Langfuse or other LLM observability/tracing solutions.
Experience with Neo4j or other graph databases.
Experience with Collibra, Dataiku, Redshift/PostgreSQL, or similar enterprise data platforms.
Familiarity with Incident, Problem, Change, Release, DR, and production readiness processes.
Experience in pharmaceutical, healthcare, or other regulated industries is a plus.
Work Location Assignment: On Premise
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers .
Information & Business Tech
Job details
How this role compares
Computed from every other active Information Technology role in our database, not just this employer's listings.
We currently track 649 comparable Senior Information Technology roles across 53 biopharma companies.
Salary context
89 of 649 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 649 comparable roles
+ 26 more countries
Seniority mix
649 of 649 peers have a known seniority level
Therapeutic area mix
3 of 649 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
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How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.