S&P Global
295255 Full Stack Engineering Associate Director - GenAI (Remote)
S&P Global, Little Ferry, New Jersey, us, 07643
Job Title: Full-Stack Engineer - Associate Director (GenAI Team)The Data Science COE at S&P Global is looking for a hands-on Full-Stack Engineering leader to lead the full-stack engineering design and development efforts for the ML applications developed by the COE in our Ratings organization. This role will lead, implement and define the full-stack platform strategy, and design and develop front-end and application layer solutions for our ML services while working with a broad range of partners across data, technology and business teams.In this role, you will play a pivotal role in leading and implementing the design, test, and implementation of various software applications for our Machine Learning solutions. You will create software, applications, and scalable web services, while also providing leadership for software platform and engineering teams.You will be instrumental in developing full-stack solutions for our ML products and prototypes in a world-class AI ML team while working alongside well-known experts and researchers in AI ML modeling, ML engineers, and data science and data engineering teams. You will be a critical part of leading S&P’s AI-driven transformation to drive value internally and for our customers.S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for a hands-on full-stack engineer and application developer to grow into the next step in their career journey and apply their domain expertise for leading the integration of front-end applications and APIs for deep learning, GenAI, and LLM back-end models to drive business value for multiple stakeholders. The ideal candidate must have deep design and hands-on scalable web application development expertise, and integrating data-driven solutions with business functions to create the next generation of AI-powered capabilities.Compensation/Benefits Information:
(This section is only applicable to US candidates)S&P Global states that the anticipated base salary range for this position is $150,000 to $225,000. Final base salary for this role will be based on the individual’s geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is eligible to receive additional S&P Global benefits.Responsibilities include:Full-Stack System Architecture Design: Develop scalable full-stack system and front-end applications for ML back-end.Full-stack UI and System Development for AI products: Responsible for the development of custom architecture for batch and stream processing-based AI ML pipelines including data ingestion to preprocessing to scaled AI model compute and ensure the architecture meets all SLA requirements.System Infrastructure Management: Ensure the deployment, and management of scalable and reliable system and application infrastructure for AI, ML, GenAI, LLM products.API Development, Integration, and Testing: Lead the development and integration of scalable APIs.Monitoring and Optimization: Create and maintain robust monitoring systems to track model performance, data quality, and infrastructure health.Internal Collaboration: Collaborate closely with data scientists, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems.Stakeholder Engagement and Collaboration: Collaborate closely with ML teams, business, and PM stakeholders in full-stack implementation efforts.Security and Compliance: Implement security measures and compliance standards of the full-stack systems and APIs to ensure adherence to industry regulations.Mentorship: Mentor technical engineering talent. Provide guidance and mentorship to junior engineers.Documentation: Maintain comprehensive documentation of full-stack systems and applications for reference and knowledge sharing.Standards and Best Practices: Ensure the use of standards, governance, and best practices in ML pipeline monitoring and ML model monitoring.Problem Solving: Troubleshoot complex issues related to full-stack system deployments and develop innovative solutions.REQUIRED SKILLS/QUALIFICATIONSBachelor's or Master's degree in Computer Science, Engineering, or a related field.Experienced professional (7+ years experience) as full-stack engineer, architect, engineer with core hands-on experience.4+ years hands-on experience in integrating, evaluating, deploying, operationalizing scalable full-stack and web-application solutions and APIs.5+ Years of Experience in developing Front-end technology.5+ years of experience with front-end technologies, including JavaScript, CSS3, HTML5, and third-party libraries such as React Js, Next.js, Angular, Node.js, jQuery, and LESS.5+ years of experience with Development languages: Expert-level skills in server-side programming languages including .Net, Java, Ruby, and Python.5+ Years of experience with Databases and cache: Experienced with DBMS technology, including SQLServer, Oracle, MongoDB, and MySQL.3+ Years of Basic UI/UX design ability: Including knowledge of UI/UX and basic front-end prototype design.5+ Server: Experience working with Nginx or Apache servers with a solid background in Linux.Ability to visualize a proposed system involving API integration with back-end and data pipelines, and be able to build it.Excellent written & verbal communication and stakeholder management skills.Strategic thinker and influencer with demonstrated technical and business acumen and problem-solving skills.Nice to have: Experience with full-stack engineering development for deep learning and LLM solutions.
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(This section is only applicable to US candidates)S&P Global states that the anticipated base salary range for this position is $150,000 to $225,000. Final base salary for this role will be based on the individual’s geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is eligible to receive additional S&P Global benefits.Responsibilities include:Full-Stack System Architecture Design: Develop scalable full-stack system and front-end applications for ML back-end.Full-stack UI and System Development for AI products: Responsible for the development of custom architecture for batch and stream processing-based AI ML pipelines including data ingestion to preprocessing to scaled AI model compute and ensure the architecture meets all SLA requirements.System Infrastructure Management: Ensure the deployment, and management of scalable and reliable system and application infrastructure for AI, ML, GenAI, LLM products.API Development, Integration, and Testing: Lead the development and integration of scalable APIs.Monitoring and Optimization: Create and maintain robust monitoring systems to track model performance, data quality, and infrastructure health.Internal Collaboration: Collaborate closely with data scientists, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems.Stakeholder Engagement and Collaboration: Collaborate closely with ML teams, business, and PM stakeholders in full-stack implementation efforts.Security and Compliance: Implement security measures and compliance standards of the full-stack systems and APIs to ensure adherence to industry regulations.Mentorship: Mentor technical engineering talent. Provide guidance and mentorship to junior engineers.Documentation: Maintain comprehensive documentation of full-stack systems and applications for reference and knowledge sharing.Standards and Best Practices: Ensure the use of standards, governance, and best practices in ML pipeline monitoring and ML model monitoring.Problem Solving: Troubleshoot complex issues related to full-stack system deployments and develop innovative solutions.REQUIRED SKILLS/QUALIFICATIONSBachelor's or Master's degree in Computer Science, Engineering, or a related field.Experienced professional (7+ years experience) as full-stack engineer, architect, engineer with core hands-on experience.4+ years hands-on experience in integrating, evaluating, deploying, operationalizing scalable full-stack and web-application solutions and APIs.5+ Years of Experience in developing Front-end technology.5+ years of experience with front-end technologies, including JavaScript, CSS3, HTML5, and third-party libraries such as React Js, Next.js, Angular, Node.js, jQuery, and LESS.5+ years of experience with Development languages: Expert-level skills in server-side programming languages including .Net, Java, Ruby, and Python.5+ Years of experience with Databases and cache: Experienced with DBMS technology, including SQLServer, Oracle, MongoDB, and MySQL.3+ Years of Basic UI/UX design ability: Including knowledge of UI/UX and basic front-end prototype design.5+ Server: Experience working with Nginx or Apache servers with a solid background in Linux.Ability to visualize a proposed system involving API integration with back-end and data pipelines, and be able to build it.Excellent written & verbal communication and stakeholder management skills.Strategic thinker and influencer with demonstrated technical and business acumen and problem-solving skills.Nice to have: Experience with full-stack engineering development for deep learning and LLM solutions.
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