- Design, develop, and implement cloudbased AI solutions using Azure services.
- Collaborate with data scientists, developers, project managers, and external teams in an agile environment.
- Orchestrate the development and maintenance of CI/CD pipelines for deploying and testing AI applications.
- Ensure governance, security, and compliance of all cloudbased AI solutions.
- Research and recommend new technologies and tools to improve the efficiency and effectiveness of AI development processes.
- Participate in code reviews and provide feedback to other developers.
- Work with cloud security on encryption, certificate management, and network security.
- Create clear documentation on work products and code bases.
- Understand vulnerability alerts provided by internal security tools and develop custom infrastructure.
- Develop code consistent with Gen Re security policies, provide recommendations, and implement those recommendations.
- Translate the enterprise's technology futurestate architecture vision into principles, guidelines, standards, and patterns to ensure alignment with broader strategic goals.
- Own and drive the Enterprise Architecture governance process.
- Stay informed about industry best practices in AI.
- The ideal candidate will have a combination of IT skills, engineering skills, analytics skills, AI skills, and insurance or reinsurance knowledge with an advanced technical or computer science background.
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
- Proven evidence of handson experience in software engineering, software delivery, and solution architecture.
- Experience with secure software development life cycle methodologies (e.g., Agile) and knowledge of current industry best practices for technology.
- Strong experience in cloudbased AI development.
- Proficiency in programming languages such as Python, Java, or C#.
- Experience with AI services such as OpenAI, AI Search, AI Document Intelligence, etc.
- Strong experience with provisioning, configuring, and securing Azure solutions.
- Strong experience in automating CI/CD pipelines in Azure.
- Strong experience with integrating Azure storage (e.g., Data Lake, Cosmos DB, Microsoft SQL Server, etc.) in broader solutions.
- Experience in deployment and functionality of container services (e.g., Azure Kubernetes Service).
- Good understanding of cloud security best practices, including encryption, certificate management, and network security.
- Proficiency with presentations and leading discussions with stakeholders and crossfunctional teams.
- Experience with implementing Actuarial concepts (e.g., pricing) into analytics systems.
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Azure Cloud AI Engineer - London, United Kingdom - General Re Corporation
Description
Shape Your Future with Us
General Re Corporation, a subsidiary of Berkshire Hathaway Inc., is a holding company for global reinsurance and related operations, with more than 2,000 employees worldwide.
Gen Re delivers reinsurance solutions to the Life/Health and Property/Casualty insurance industries.
Represented in all major reinsurance markets through a network of more than 40 offices, supported by over 2,000 employees worldwide, we have earned superior financial strength ratings from each of the major rating agencies.
Gen Recurrently offers an excellent opportunity for an Azure Cloud AI Engineer toan appropriately qualified individual within the Global IT Services.
This rolemay be performed remotely within the United Kingdom, but the individual must beable to report on-site into our
London, United Kingdom office in a hybridapproach, as needed.
Stamford, CT, USA as a hybrid role.
PositionDescription / Requirements
The Azure Cloud AI Engineer is a memberof the Enterprise Data Services (EDS) team within Global IT Services.
In this capacity, the candidate will work witha team of empathetic, autonomy-supported, well-connected, competent,and passionate data analysts, data engineers, data architects,and data scientists (i.e., a data team) responsible for empowering theorganization with modern data science and AI tools, technologies, and workflows.
The ideal candidate will be highly empathetic,collaborative, organized, analytical, and be expected to partner effectivelywith other business and service units.
Azure Cloud AI Engineer Responsibilities:
Experience/Skills Required
Additional Experience / Skills Desired
For Applicants in the USA
Salary range:
$91,000 -$152,000. The annual base salary range posted represents abroad range of salaries around the U.S. and is subject to many factorsincluding but not limited to credentials, education, experience, geographiclocation, job responsibilities, performance, skills and/or training.
Closing Date
30 March 2024
Our Address
General Reinsurance, London Branch
Corn Exchange
55 Mark Lane
London, EC3R 7NE (UK)
It is the continuing policy of the Gen Re Group to afford Equal Opportunity to qualified individuals without regard to race, color, sex (including childbirth or related medical conditions), religion, national origin or citizenship, sexual orientation, gender identity, or any characteristic protected by applicable law.
In addition, Gen Re provides reasonable accommodation for qualified individuals with disabilities in accordance with the Americans with Disabilities Act.