SuccessFactors Applications Development Specialist

Sr. Generative AI Engineer

Data Engineer / Senior / Supervisor

Responsibilities: <ul><li>Configure SuccessFactors Platform module to solve complex problems within defined deadlines.</li><li>Design prototypes, implement and test configurations and troubleshoot software applications.</li><li>Analyze organizational needs, end user requirements and requests and existing software structures to identify and create new features that will increase efficiency and optimize</li><li>functionality.</li><li>Perform tests to determine usability and catch defects before releasing the application toother internal users.</li><li>Systemize and coordinate upgrades and updates to minimize downtime, allow for continuous integration and ensure the highest priority issues are being addressed.</li><li>Provide subject matter expertise to design and build models and implement new application functionality that aligns with overall corporate objectives.</li><li>Collaborate with end users to assess system performance, acquire feedback and identify areas where improvements are necessary and incorporate user feedback into forthcoming</li><li>initiatives to guarantee an optimal user experience.</li><li>Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff.</li><li>Collaborate with IT teams to manage integrations between SuccessFactors and other HR systems or third-party applications.</li><li>Other duties as assigned</li></ul> Requirements: <ul><li>Bachelor’s degree in a related field or equivalent experience</li><li>Certification in SuccessFactors Platform</li><li>Demonstrated understanding of software design and principles</li><li>Experience in designing and building modern SF platform experiences including mobile and security.</li><li>Minimum of four years of related work experience</li><li>Other minimum qualifications may apply</li></ul>

Responsibilities: <ul><li>Apply software and AI engineering patterns and principles to design, develop, test, integrate, maintain and troubleshoot complex and varied Generative AI software solutions and incorporate security practices in newly developed and maintained applications.&nbsp;&nbsp;</li><li>Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.&nbsp;&nbsp;</li><li>Conduct research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services, optimizing existing generative AI models and RAG for improved performance, scalability, and efficiency, developing and maintaining pipelines and RAG solutions including data preprocessing, prompt engineering, benchmarking and fine-tuning.&nbsp;&nbsp;</li><li>Develop clear and concise documentation, including technical specifications, user guides and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.&nbsp;</li><li>Participate in the engineering community by maintaining and sharing relevant technical approaches and modern skills in AI.&nbsp;</li><li>Contribute to the establishment of best practices and standards for generative AI development within the organization.&nbsp;</li><li>Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff.&nbsp;</li><li>Other duties as assigned&nbsp;</li></ul> Requirements: <ul><li>Bachelor’s degree in a related field or equivalent experience&nbsp;</li><li>Minimum of five years of related work experience&nbsp;</li><li>You are proficient in Python and have experience with machine learning libraries and frameworks&nbsp;</li><li>Have deep understanding of industry leading Foundation Model capabilities and its application.&nbsp;&nbsp;</li><li>You are familiar with cloud-based Generative AI platforms and services&nbsp;</li><li>Full stack software engineering experience to build products using Foundation Models&nbsp;</li><li>Confirmed experience architecting applications, databases, services or integrations&nbsp;</li></ul>

Role Description:The Data Engineering Senior Supervisor will lead a small team of data engineering professionals to design, build and operate high performance data centric products or solutions through the use of modern engineering practices and technologies.In this role, you will provide guidance to ensure the delivered data centric products or solutions are scalable, sustainable and robust.You will also lead team development and cross team relationships and delivery to advance the company's engineering delivery.Responsibilities:Lead a local or regional team of engineering professionals that design, develop, deploy and enhance new and existing data centric products or solutions through the use of modern platforms and technologies.Provide routine inputs and guidance to the data engineering team on business requirements analysis, technical specification's preparation, product delivery, testing and operation to support businesses strategic direction.Coach engineers, share relevant technical approaches, identify new trends, modern skills and present new methodologies within the data engineering community.Lead and develop a team, coach and make decisions related to talent management, hiring, performance, and disciplinary actions.Other duties as assignedRequirements:Minimum QualificationsBachelor's degree in a related field or equivalent experience.Minimum of four years of related work experience.Minimum of two years leading a team of Data Engineers.Preferred QualificationsConfirmed data engineering experience with data storage and management of large, heterogenous datasets, including formats, structures, and cataloging with such tools as Iceberg, Parquet, Avro, ORC, S3, HFDS, HIVE, Kudu or others.Experience leading Big Data engineering teams working in environments such as Hadoop and SparkExperience leading technology strategies with cloud Platforms including AWS, GCP or AzureExperience leading engineering teams working in streaming and stream integration or middleware platforms, tools, and architectures such as Kafka, Flink, JMS, or Kinesis.Confirmed knowledge of best practice patterns and how to apply them to modern data architectures, including data warehouses, data lakes, data mesh, hubs and associated capabilities including ingestion, governance, modeling, observability and more.Experience leveraging transformation and modeling tools, including SQL based transformation frameworks, orchestration and quality frameworks including dbt, Apache Nifi, Talend, AWS Glue, Airflow, Dagster, Great Expectations, Oozie and others.Strong programming knowledge of SQL, Python, R, Java, Scala or equivalent.Proficiency in engineering tooling including docker, git, and container orchestration services.Strong experience leading devops teams with demonstratable understanding of associated best practices for code management, continuous integration, and deployment strategies.Experience and knowledge of data governance considerations including quality, privacy, security associated implications for data product development and consumption.A passion for quality and continuous improvement with an owners mindset.Ability to work effectively as part of a team, group and cultureAbility to navigate ambiguity and work in agile ways.

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SuccessFactors Applications Development Specialist

Sr. Generative AI Engineer

Data Engineer / Senior / Supervisor

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SuccessFactors Applications Development Specialist

Sr. Generative AI Engineer

Data Engineer / Senior / Supervisor

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