Enterprise Architect – Specialized in AI
Reale Group
full-time
Posted on:
Location Type: Hybrid
Location: Torino • Italy
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About the role
- Define and design the enterprise AI architecture framework to support AI solutions
- Support stakeholders to formulate code approaches to solve problems using algorithms and data sources in context of customer, engineering, and business needs.
- Guide AI platform selection (cloud, on-prem, hybrid) and integration with existing enterprise systems and architecture
- Participate in Enterprise Architecture reviews and provide technical oversight with his/her AI competences
- Collaborate with other stakeholders of AI environment, in evaluating new AI technologies, vendors, and tools for enterprise adoption.
- Participate together with the DevOps team in choosing the best operational architecture.
- Monitor the performance of the framework & platform components of the AI Solutions. In the event of poor performance, support the development team (Data Science Competence Center and Data Analytics & AI Competence Center) in implementing the best technological solution within the operational architecture.
- Have a strong relationship with Infrastructure team and the development team so that he/she can support their activity when building scalable, secure, performing solutions within technological platform and architecture strategy.
Requirements
- 5 to 10 years of engineering experience using large data systems on SQL, Hadoop, Spark, etc.
- 5 to 10 years of experience using one or more programming or scripting language like Python, Scala, PySpark or C# to work with data.
- 5 to 10 years of experience using tools like Python, R, MATLAB, AMPL, SAS, and other relevant data science tools/environments. (Jupyter Notebook)
- 5 to 10 years of experience developing AI and ML pipelines for continuous operation, feedback and monitoring of ML models leveraging best practices from the CI/CD automation; and DevOps principles
- 2 to 4 years of prior experience implementing HTTP REST APIs.
- 2 to 4 years of experience working in Azure Cloud designing scalable AI Solutions and integrated them with other systems.
- 2 years of experience implementing GenAI solutions.
- 2 years of releasing and maintaining GenAI solutions in productive environments.
- 1 year of starting, projecting and testing Agentic AI solutions and frameworks.
- Have strong knowledge about data engineering concepts, tools and automation processes (DataOps) since data pipelines and architectures provide the base for building AI solutions as all-in-one Databricks
- 5 to 10 years of experience of the insurance business and its business processes in all its areas (transversal vision)
Benefits
- Modalità di lavoro: ibrida, in sede Torino + 12gg di smartworking al mese
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI architecturealgorithmsdata engineeringAI and ML pipelinesHTTP REST APIsGenAI solutionsdata pipelinesCI/CD automationDevOps principlesdata automation processes
Soft Skills
collaborationtechnical oversightstakeholder supportrelationship management