Our team members are at the heart of everything we do. At Cencora, we are united in our responsibility to create healthier futures, and every person here is essential to us being able to deliver on that purpose. If you want to make a difference at the center of health, come join our innovative company and help us improve the lives of people and animals everywhere. Apply today!

Job Details

Application Development

• Design and build responsive, user-focused front-end experiences using HTML, CSS, and modern JavaScript frameworks, such as React. 
• Develop scalable back-end services, APIs, and microservices.
• Integrate AI/ML features such as predictions, recommendations, or LLM-driven capabilities into applications.
• Ensure cross-browser compatibility and optimize performance metrics.
• Write server-side logic and manage the engine of the application, including building and maintaining APIs.

AI, LLM & Data Integration

• Build and maintain data pipelines and transformations using Azure Databricks (PySpark, SQL, Delta Lake).
• Collaborate with data scientists to deploy and operationalize machine learning models.
• Integrate LLMs (including embedding models, prompt-based services, or fine‑tuned variants) into products for tasks such as summarization, classification, retrieval, or natural language workflows.
• Implement retrieval-augmented generation (RAG), vector search, or other LLM-enhancement patterns.
• Use AI tools to do AI Orchestration such as automate testing and suggest improvements.
• Design efficient data schemas and manage both relational and non-relational databases. 
• Perform query optimization, indexing, and data security as needed.

Cloud & Container Engineering

• Deploy cloud-native applications and services using Azure Kubernetes Service (AKS).
• Implement containerization, scaling rules, monitoring, and automated DevOps workflows.
• Ensure reliability, observability, and secure configuration of all cloud services.
• Manage deployment pipelines (CI/CD) and hosting applications on Azure platform.

Architecture & Collaboration

• Collaborate on solution architecture and platform design discussions.
• Work closely with product, UX, data engineers, data scientists, and architects.
• Provide technical guidance through code reviews and best practices.

Quality, Testing & Operations

• Develop automated testing across unit, integration, functional, and performance layers.
• Ensure AI/LLM integrations follow responsible AI and security guidelines.
• Troubleshoot production issues across the full stack.

Qualifications

Required

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
• 3+ years of experience in full‑stack development.
• Strong proficiency with:
  • Front-end: React, JavaScript/TypeScript
  • Back-end: Python, Java, Node.js, .NET
  • Databases: Databricks, PostgreSQL
• Experience with:
  • Azure Kubernetes Service (AKS) or other Kubernetes platforms
  • Databricks (PySpark, notebooks, Delta Lake, data engineering)
  • AI/ML model integration, especially using Azure or Databricks
  • LLMs, including prompt engineering, API integration, or embedding/vector search
• Experience with CI/CD pipelines (Azure DevOps, GitHub Actions).
• Strong understanding of cloud-native and microservices architectures.

Preferred

• Experience productionizing LLM-based workflows (RAG, fine-tuning, vector databases).
• Familiarity with Azure AI Services, model monitoring, or responsible AI practices.
• Knowledge of event-driven architectures (Kafka, Event Hubs).
• Experience with Infrastructure-as-Code (Terraform, Bicep).
• Knowledge of secure coding, cloud governance, and data privacy.

.

Core Competencies

• Strong analytical and problem‑solving skills.
• Excellent communication and cross-functional collaboration.
• Ability to operate in agile environments.
• Curiosity around emerging technologies specifically GenAI, LLMs, and cloud platforms.

Tools & Technologies

• Front-end: React, Angular, Vue
• Back-end: Java, Python, Node.js, .NET
• Cloud & Containers: Azure Kubernetes Service (AKS), Docker
• Data & AI: Databricks, Delta Lake, MLflow, Azure AI Services
• LLM Ecosystem: Prompt engineering, embeddings, vector stores, RAG frameworks
• DevOps: GitHub Actions, Azure DevOps
• Databases: PostgreSQL

What Cencora offers

​Benefit offerings outside the US may vary by country and will be aligned to local market practice. The eligibility and effective date may differ for some benefits and for team members covered under collective bargaining agreements.

Full time

Affiliated Companies

Affiliated Companies: AmerisourceBergen Services Corporation

Equal Employment Opportunity

Cencora is committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status or membership in any other class protected by federal, state or local law.

The company’s continued success depends on the full and effective utilization of qualified individuals. Therefore, harassment is prohibited and all matters related to recruiting, training, compensation, benefits, promotions and transfers comply with equal opportunity principles and are non-discriminatory.

Cencora is committed to providing reasonable accommodations to individuals with disabilities during the employment process which are consistent with legal requirements. If you wish to request an accommodation while seeking employment, please call 888.692.2272 or email hrsc@cencora.com. We will make accommodation determinations on a request-by-request basis. Messages and emails regarding anything other than accommodations requests will not be returned