Associate DevOps Engineer - Agentic AI; Hybrid
Listed on 2026-03-12
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IT/Tech
Cloud Computing, Systems Engineer
Company Description About Abb Vie
Abb Vie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about Abb Vie, please visit us at Follow @abbvie on Linked In, Facebook, Instagram, X and You Tube.
Job DescriptionIndependently perform deployment, infrastructure management, and Dev Ops solutions to deliver reliable and reproducible application deployments in a timely manner. This role will primarily focus on deploying agentic AI applications and supporting broader EPIC (Enterprise Product Incubator of Capabilities) organization application deployments, while contributing to platform engineering efforts to standardize Dev Ops practices and architecture across the EPIC Organization. Demonstrate technical precision, strong analytical skills, and proficiency in cloud and hybrid infrastructure environments, CI/CD pipelines, and containerization technologies.
Responsibilities- Deploy and manage agentic AI applications and other EPIC applications across hybrid cloud (AWS) and on‑premise environments using Kubernetes and Docker.
- Build, maintain, and optimize CI/CD pipelines using Azure Dev Ops and/or Git Hub Actions to ensure smooth and automated deployment processes.
- Implement Infrastructure as Code (IaC) practices to provision and manage infrastructure resources consistently and efficiently.
- Perform routine Dev Ops tasks competently and independently, generating reliable and consistent deployment results.
- Troubleshoot deployment issues, containerized applications, and infrastructure configurations to ensure system reliability and performance.
- Monitor and analyze deployment metrics, noting significant variances or issues and taking corrective action.
- Collaborate with the Agentic team and broader EPIC teams to understand application requirements and adapt deployment strategies accordingly.
- Learn and implement new Dev Ops tools, technologies, and best practices to continuously improve platform capabilities.
- Produce and maintain technical documentation for deployment processes, infrastructure configurations, and operational procedures.
- Understand and adhere to corporate standards regarding applicable Corporate and Divisional Policies, including code of conduct, safety, GxP compliance, data security, and the software development lifecycle.
- Bachelor's Degree and 2 years experience; OR Master’s Degree with no experience
- Strong experience with containerization technologies (Docker, Kubernetes)
- Working knowledge of cloud platforms, particularly AWS
- Experience with hybrid cloud and on‑premise infrastructure management
- Familiarity with Infrastructure as Code concepts and tools
- Programming/scripting skills in Python
- Experience working with APIs and RESTful services
- Strong troubleshooting and problem‑solving skills
- Ability to work independently and as part of a collaborative team
- General understanding of AI/ML deployment concepts, LLMs, or agentic AI systems
- Proficiency with CI/CD pipeline tools (Azure Dev Ops or Git Hub Actions)
- Experience with platform engineering or standardizing Dev Ops practices across organizations
- Knowledge of monitoring and observability tools
- Experience with configuration management and automation tools
- Understanding of security best practices for cloud and hybrid environments
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
- The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range.
This range may be modified in the future. - We offer a…
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