GenAI Solutions Architect - Assoc Dir / Dir (Remote or Hybrid)

at  SP Global

COMPENSATION/BENEFITS INFORMATION (US APPLICANTS ONLY):

S&P Global states that the anticipated base salary range for this position is 150,000 – 230,000. Final base salary for this role will be based on the individual’s geographical location as well as experience and qualifications for the role.
This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here .
What We’re Looking For:Basic Required Qualifications:
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Experienced professional (8+ years experience) as ML engineer, architect, lead data scientist in Big Data ecosystem or any similar distributed or public cloud platform, with a desire to assume greater responsibilities as a leader and mentor, while still being hands-on
4+ years hands-on experience in ML architecture design and implementation for large-scale enterprise AI solutions and AI products
4+ year’s experience with Business, Product Stakeholder Engagement and Collaboration: Demonstrated success Collaborating with business, product and PM stakeholders in AI roadmap planning and implementation efforts and ensure technical milestones align with business requirements.
Experience working in Agile frameworks and delivery methods (scaled Agile, SAFe, etc.).
Expertise (4+ years) in the design and development of complex data-driven architectures for distributed computing and orchestration technology (Kubernetes, Ray, Airflow) and scaling
Experience with public cloud platform & system architectures (AWS, GCP, Azure)
Proficiency with Databricks, MLflow, Flink, or similar AI/ML/ML technologies
Experience with SQL, NoSQL, ElasticSearch, MongoDB, and Spark, Python, PySpark for model development and ML Ops
Knowledge of DevOps, MLOps principles and practices, and experience with version control systems (e.g., Git) and CI/CD pipelines.
Strong familiarity with higher level trends in LLMs and open-source platforms.

ADDITIONAL PREFERRED QUALIFICATIONS:

Experience with contributing to Github and open source initiatives or in research projects

RIGHT TO WORK REQUIREMENTS:

This role is limited to persons with indefinite right to work in the United States.

OUR PEOPLE:

We’re more than 35,000 strong worldwide—so we’re able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.

Strategic thinker and influencer with demonstrated technical and business acumen and problem-solving skills.

• Occasional travel may be required

ABOUT THE ROLE:

Grade Level (for internal use): 13
The Role: GenAI Solutions Architect - Assoc Dir / Dir
The Team: The Data Science COE at S&P Global in delivers AI capabilities and advancements to our S&P Global Ratings products and services. The AI ML team within the COE is comprised of experts in AI ML modeling, ML engineers and data science and data engineering teams.

RESPONSIBILITIES INCLUDE:

GenAI Architecture Strategy: Develop and implement AI achitecture strategies, best practices, and standards to enhance AI ML model deployment and monitoring efficiency. Develop architecture roadmap and strategy for GenAI Platforms and tech stacks
ML Architecture Design and Development: Responsible for the design and development of custom AI 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. Work closely with members of technology and business teams in the design, development, and implementation of Enterprise AI platform
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 business and PM stakeholders in roadmap planning and implementation efforts and ensure technical milestones align with business requirements.
AI Infrastructure Architecture : Oversee the design of scalable and reliable infrastructure for AI, ML , GenAI, LLM model training and deployment.
AI Model Deployment Architecture : Lead the architecture of GenAI, LLM , machine learning models deployment patterns in production environments, with design patterns that ensurie reliability and scalability.
AI Monitoring Architecture: Create design of GenAI robust monitoring systems to track model performance, data quality, and infrastructure.
Security and Compliance: Implement security measures and compliance standards to protect sensitive data and ensure adherence to industry regulations.
Documentation: Maintain comprehensive documentation of AI processes and procedures for reference and knowledge sharing.
Standards and Best Practices: Ensure the use of standards, governance and best practices in AI pipeline monitoring and ML model monitoring, and adherence to model and data governance standards
Problem Solving: Troubleshoot complex issues related to machine learning model deployments and data pipelines, and develop innovative solutions.
Serve as a thought leader in generative AI, influencing both technical strategy and executive-level decisions.
Build and scale production-ready AI systems that operate reliably at enterprise levels, ensuring long-term business impact.
Exceptional presentation skills to convey technical concepts to non-technical stakeholders.
Ability to adapt communication styles to various audiences, from engineers to business stakeholders and executive leadership.
Passion for staying ahead of AI trends and leveraging emerging technologies.

Strategic thinker and influencer with demonstrated technical and business acumen and problem-solving skills.

• Occasional travel may be required.

OUR PURPOSE:

Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.