ROLE SUMMARY

Join Pfizer Digital’s Commercial Creation Center & CDI organization (C4) to leverage cutting-edge technology for critical business decisions and enhance customer experiences for colleagues, patients, and physicians. Our team of engineering, data science, and AI professionals is at the forefront of Pfizer’s transformation into a digitally driven organization, using data science and AI to change patients’ lives, leading process and engineering innovations to advance AI and data science applications from prototypes and MVPs to full production.

As a Sr. Manager, Cloud & AI Engineer, you will own the cloud environments, backend services, CI/CD pipelines,LLMOpstooling, and observability infrastructure that enable fast, reliable, and secure AI product delivery.

You will partner with AI engineers, data scientists, and the enterprise platform team to ensureDecisionIQ'sinfrastructure is production-grade, scalable, and compliant. This role is for someone who thrives at the intersection of cloud engineering, backend development, and AI/ML operations — ensuring that the platform beneath the product is rock-solid.

ROLE RESPONSIBILITIES

1) Cloud Infrastructure & Backend Engineering

Design, build, andoperatecloud-native environments on AWS/Azure forDecisionIQ: compute, storage, networking, and security

Implement Infrastructure as Code (Terraform, Ansible, Helm) for reproducible, version-controlled environments

Develop andmaintainbackend services, APIs, and data pipelines that powerDecisionIQ'sAI features

Define and enforce architecture patterns: containerization (Kubernetes/Docker), secrets management, identity and access management, and security guardrails

Optimizecloud resourceutilization, cost, and performance across allDecisionIQworkloads

2)LLMOps& AI/ML Operations

Build and operateMLOps/LLMOpspipelines: experiment tracking, model registry, model deployment, monitoring, and rollback

Deliver LLM-as-a-Service capabilities for the team: API key management, usage optimization, cost tracking, and guardrails

Operationalize AI workflows including data pipelines, feature stores, model packaging, and inference serving

Partner with data scientists and AI engineers to accelerate model-to-production cycles with standardized tooling (MLflow,LangChain,Langfuse, SageMaker, Bedrock)

3) CI/CD, Testing & Observability

Own the CI/CD strategy: design andmaintainautomated pipelines (GitHub Actions) for build, test, and deployment across all services and ML workloads

Establish observability and reliability: implement monitoring (OpenTelemetry, Prometheus, Grafana, ELK), define SLOs, and drive operational excellence (DORA metrics, MTTR)

ChampionDevSecOps: embed security controls, automated compliance checks, and supply-chain integrity into all pipelines

Support test automation integration: ensure CI/CD pipelines enforce quality gates, coverage targets, and release readiness criteria

4) Team Contribution & Engineering Maturity

Contribute to a highly effective engineering team; mentor colleagues on cloud, DevOps, andLLMOpsbest practices

Drive engineering maturity through design docs, architecture decision records (ADRs),IaCreviews, and secure coding practices

Partner with enterprise Data and AI Platform teams to alignDecisionIQinfrastructure with corporate standards and shared services

Stay current with emerging cloud and AI operations technologies; evaluate and adopt tools that improve delivery velocity and reliability

This role covers a broad spectrum of skills and we encourage you to apply even if you meet partially.

BASIC QUALIFICATIONS

Bachelor's orMaster's degree in Computer Science, Engineering, or related field

7+ years in platform engineering, DevOps, cloud infrastructure, or backend engineering roles

Strong hands-on experience with AWS or Azure; Kubernetes/Docker; Terraform/Ansible/Helm

Proficiencyin Python and scripting (Bash); experience with backend service development and RESTful APIs

Hands-on experience with CI/CD pipelines (GitHub Actions, Jenkins) and Git-based workflows

Hands-on experience withLLMOpsand ML frameworks (LangChain,MLflow,Langfuse) and cloud AI services (SageMaker, Bedrock, Azure AI Foundry)

Expertisein observability and reliability tools (OpenTelemetry, Prometheus, Grafana, ELK) and secrets management (Vault, AWS Secrets Manager)

Demonstrated experience withDevSecOpsand secure SDLC practices

Familiarity with cloud-based analytics ecosystems (AWS, Snowflake)

Hands-on experience working in Agile teams, processes, and practices

Highly self-motivated; strong English communication skills (written and verbal)

PREFERRED QUALIFICATIONS

Advanced degree (MS/PhD) in Computer Science, Engineering, or related field

Experience withMLOpsplatforms (Kubeflow,MLflow; model registry/monitoring) and modern data architectures (lakehouse, distributed systems)

Background in performance/security testing, chaos engineering, and SRE practices

Experience in regulated/compliance-aware environments (GxP, HIPAA, SOC2)

Experience with serverless computing (AWS Lambda) and event-driven architectures

Certifications: AWS/Azure Professional, CKA/CKAD,HashiCorpTerraform, Security (CCSP)

Familiarity with BI backend concepts (Star Schema, Snowflake)

Please apply by sending your CV and a motivational letter in English.

Work Location Assignment: Hybrid

Purpose 

Breakthroughs that change patients' lives... At Pfizer we are a patient centric company, guided by our four values: courage, joy, equity and excellence. Our breakthrough culture lends itself to our dedication to transforming millions of lives.  

Digital Transformation Strategy

One bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience.

Flexibility  

We aim to create a trusting, flexible workplace culture which encourages employees to achieve work life harmony, attracts talent and enables everyone to be their best working self. Let’s start the conversation!  

Equal Employment Opportunity 

We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating this, in all its forms – allowing for us to be as diverse as the patients and communities we serve. Together, we continue to build a culture that encourages, supports and empowers our employees.

Disability Inclusion

Our mission is unleashing the power of all our people and we are proud to be a disability inclusive employer, ensuring equal employment opportunities for all candidates. We encourage you to put your best self forward with the knowledge and trust that we will make any reasonable adjustments to support your application and future career. Your journey with Pfizer starts here!

Information & Business Tech