Lead, Python Software Developer

The Team

Our team is on an exciting journey to build Kensho Spark Assist, S&P Globals internal conversational AI platform, designed to support colleagues across all departments.

We work collaboratively with internal and external partners, using data-driven decisions and continuous improvement to create value. Forward-thinking in nature, we leverage modern generative AI models and cloud services. Our focus is on the creation of scalable systems over customized solutions, all while prioritizing the needs of our stakeholders.

What You Stand to Gain:

• Build a rewarding career with a leading global company in an international team.
• Develop relevant solutions that enhance efficiency and drive innovation across S&P Global's diverse departments.
• Enhance your skills by engaging with enterprise-level products and cutting-edge genAI technologies.
• Work alongside experts in AI and technology, gaining insights and experience that will propel your career forward.

Responsibilities:

• Develop clean, high-quality Python code that is easy to read and maintain.
• Solve complex problems by analyzing and isolating issues efficiently.
• Champion best practices in coding and serve as a subject matter expert.
• Design and implement solutions to support key business needs.
• Engineer components and API functions using Python.
• Produce system design documents and lead technical walkthroughs.
• Collaborate effectively with both technical and non-technical partners to achieve project goals.
• Continuously improve the architecture to enhance system performance and scalability.
• Provide technical guidance and mentorship to team members, fostering a culture of continuous improvement.

Basic Qualifications:

• 8+ years of experience in designing and building solutions using distributed computing.
• Proven experience in implementing and maintaining web applications in large-scale environments.
• Experience working with business stakeholders and users, providing research direction and solution design.
• Experience with CI/CD pipelines to automate the deployment and testing of software.
• Proficient programming skills in high-level languages, particularly Python.
• Solid knowledge of cloud platforms such as Azure and AWS.
• Experience with SQL and NoSQL such as Azure Cosmos DB and PostgreSQL
• Ability to quickly define and prototype solutions with continual iteration within challenging timelines.
• Strong communication and documentation skills for both technical and non-technical audiences.

Preferred Qualifications:

• Generative AI Expertise: Deep understanding of generative AI models, including experience with large language models (LLMs) such as GPT, BERT, and Transformer architectures.
• Embedding Techniques: Proficiency in creating and utilizing embeddings for various applications, including semantic search and recommendation systems.
• Machine Learning and NLP: Experience with machine learning models and natural language processing techniques to enhance AI-driven solutions.
• Vector Search and Retrieval: Familiarity with vector search techniques and embedding models for efficient data retrieval and analysis.
• Cloud Platforms: Knowledge of cloud services such as AWS, Azure, or Google Cloud for deploying and managing AI solutions.
• Collaboration and Leadership: Ability to lead, train, and mentor team members effectively.