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Accenture Baltics

AI Infrastructure engineer

Accenture Baltics
Lithuania · Full-time · Mid-Senior
An AI Infrastructure Engineer to build, deploy, and maintain robust infrastructure solutions within cloud environments, tailored for AI and machine learning workloads. This role involves a mix of innovative infrastructure design, hands-on deployment, and meticulous maintenance to ensure operational excellence in AI-powered applications.

Benefits:


  • Competitive salary 3175 - 5050 EUR gross
  • Flexible vacation + health & travel insurance + relocation
  • Work from home, flexible working hours
  • Work with Fortune 500 companies from different industries all over the world
  • Skills development and training opportunities, company-paid certifications
  • Opportunities to advance career
  • An open-minded and inclusive company culture


    • Key responsibilities:


  • Architect and deploy cloud infrastructure solutions that are secure, scalable, and optimized for AI and machine learning workloads.
  • Collaborate with AI teams to understand computational needs and translate these into infrastructure requirements.
  • Monitor, manage, and optimize cloud resources to maximize performance and minimize costs.
  • Design and implement continuous integration and delivery pipelines for AI applications.
  • Develop automation scripts and infrastructure as code to streamline deployment and management tasks.


    • Required Qualifications:


  • Good knowledge of cloud computing delivery models (IaaS, PaaS, and SaaS) and deployment models related to Public, Private and Hybrid Cloud service
  • Proficient in Linux/UNIX or Windows environments, including scripting and administration.
  • Familiarity with cloud data services and big data processing tools.
  • Bachelor’s degree in Computer Science or Software Engineering
  • 4+ years of relevant work experience in solutions design and engineering, Experience with containerization (Docker, Kubernetes) and cloud service providers (AWS, Azure, GCP).
  • Strong automation development skills. Needs to be proficient in one or more automation languages [i. e. Ansible, Cloud Formations, Chef, Puppet, Terraform].
  • Strong background in network architecture, database programming (SQL/NoSQL), and data modeling.
  • Deep understanding of cloud component architecture: Microservices, Containers, IaaS, Storage, Security , Knowledge of routing/switching technologies.


    • Desired Qualifications:


  • Detailed understanding of cloud automation and orchestration approaches and tools
  • Experience with infrastructure as code (Terraform, CloudFormation) and automation tools (Ansible, Chef, Puppet).
  • Knowledge of monitoring and logging tools (Prometheus, ELK, Grafana).
  • 4+ years relevant experience of end-to-end Cloud Migration and transformation and solutions design and engineering
  • Ability to lead a project from conception through design and implementation
  • Experience in multi-tier traditional application architectures and in service decomposition and micro services
  • Possession of a professional cloud certification and excellent oral and written communication skills in English.


    • Key Skills

    Ranked by relevance

    cloud ai infrastructure as code machine learning ansible continuous integration containerization cloudformation microservices kubernetes prometheus terraform big data storage docker puppet saas paas aws elk
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    Posted
    Feb 25, 2026
    Type
    Full-time
    Level
    Mid-Senior
    Location
    Vilnius
    Company
    Accenture Baltics

    Industries

    Internet Publishing

    Categories

    Information Technology

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