At Ericsson, you can be a game changer! Because working here isn’t just a deal. It’s a big deal. This means that you get to leverage our 140+ years of experience and the expertise of more than 95,000 diverse colleagues worldwide. As part of our team, you will help solve some of society´s most complicated challenges, enabling you to be ‘the person that did that.’ We’ve never had a greater opportunity to drive change; setting the bar for technology to be inclusive and accessible; empowering an intelligent, sustainable, and connected world.

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AI Architect

Job Description

Date: Jan 13, 2020

Why is Ericsson a good place to work

Ericsson enables communications service providers to capture the full value of connectivity. The company’s portfolio spans Networks, Digital Services, Managed Services, and Emerging Business and is designed to help our customers go digital, increase efficiency, find new revenue streams, and create new user experiences. Ericsson’s investments in innovation have delivered the benefits of telephony and mobile broadband to billions of people around the world ensuring our solutions - and our customers - are at the forefront of innovation. We support networks that connect more than 2.5 billion subscribers. With close to 100,000 employees and customers in 180 countries, we combine global scale with technology and service leadership. 40 percent of the world’s mobile traffic is carried over an Ericsson network. And, our Technology for Good and Connect to Learn programs include creating technology that makes it easier to save lives, feed societies, bring technology to emerging markets and connectivity to remote areas, and grow businesses and prosperity.

At Ericsson, we give our employees the freedom to think big and navigate their career, on a global scale. We create technology that helps others, from helping people enjoy their favorite content to helping people recover from natural disasters by enabling better communications between rescue workers. Your ideas and innovations can turn into achievements that impact society and change the world, creating new connections, new possibilities, and new capabilities. We find that Ericsson is at its best when we bring together the diverse skills of our people. Working across business areas, across cultures, across geographical borders, across technical disciplines. More often than not, across ground-breaking solutions. Next generation technology can be staggeringly complex. But the simpler it is to use; the more people benefit from it. Join us and help build technology that makes it simple to connect with information, business, societies, and each other.

AI Architecture leverages the IT Architecture discipline to deal with complex aspects of information management, analytics and AI from user experience and performance, to security and governance, to platform and infrastructure
In addition to the AI and data-driven mindset, the AI architect leverages knowledge of the Ericsson’s information, application, and infrastructure environment as well as the current technology landscape to design a holistic and optimized AI platform.
The role is central to the optimal AI lifecycle, in which data from an operational system feeds the tools used for discovery, analysis, and Machine Learning (ML) modelling. Insights from this analysis feed back to the operational system to provide input that supports decision making and business processes
Key responsibilities of the AI Architect include operationalizing AI, mapping requirements to implementation, selecting the appropriate technologies, and evaluating non-functional attributes such as security, usability, and stability.
üOperationalizing AI - Performing discovery, analysis, and Machine Learning (ML) on a snapshot of data in a one-off, stand-alone fashion is valuable. However, we can amplify this value enormously by using the insights gained to inform decision making. Doing so involves providing feeds of live operational data in a constantly flowing loop. To operationalize AI, the AI Architect closes this data-to-insight-to-action loop, which requires deep understanding of the applications and integration infrastructure environment.
üMapping requirements to implementation - AI architecture often needs to accommodate many and sometimes conflicting requirements and constraints. Requirements come from diverse stakeholders, such as line-of-business users, Data Scientists, analysts, and administrators. For example, Data Scientists need tools that enable free-format and ad hoc discovery , while business analysts need tools for structured discovery and tools that automate complex tasks such as data wrangling. Integrating a modern ML platform with an existing data sources is also an important requirement. Constraints arise from the inevitable limitations with respect to budgets, schedules, skills, and current environments. The AI architect analyses, shapes and prioritizes these requirements as well as ensures they are implemented within current constraints. The implementation should satisfy current requirements and support future needs without significant rework.
üSelecting technology - The AI Architect is responsible for selecting appropriate technologies from the many open source, commercial on-premises, and cloud-based offerings available. Integrating a new generation of tools within the existing environment is also crucial to help ensure access to accurate and current data. Because technology in this domain is evolving rapidly, another important responsibility of the AI Architect is ensuring that components can be replaced with well-suited alternatives that do not require any adjustment or downtime.
üEvaluating non-functional attributes - When selecting technologies and building the AI platform, the AI architect needs to consider not only the functional requirements, but also the non-functional attributes of platform quality such as security, usability, and stability. The AI Architect plans, designs, and monitors these key characteristics of the AI platform to help ensure that it complies with enterprise standards and that it performs adequately as additional AI solutions are implemented.

Ericsson provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, marital status, pregnancy, parental status, national origin, ethnic background, age, disability, political opinion, social status, veteran status, union membership or genetics. Ericsson complies with applicable country, state and all local laws governing nondiscrimination in employment in every location across the world in which the company has facilities. In addition, Ericsson supports the UN Guiding Principles for Business and Human Rights and the United Nations Global Compact. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, training and development. Ericsson expressly prohibits any form of workplace harassment based on race, color, religion, sex, sexual orientation, marital status, pregnancy, parental status, national origin, ethnic background, age, disability, political opinion, social status, veteran status, union membership or genetic information.