AI Software Engineer designing and building agentic AI platform components for S&P Global. Collaborating with teams on AI solutions and leading experimentation for product improvements.
About the role
- Director of Full Stack Development at S&P Global Mobility overseeing design and deployment of full-stack solutions. Collaborating with cross-functional teams to enhance supply chain intelligence capabilities.
Responsibilities
- Lead end-to-end design, development, and deployment of full-stack features for the Procurement IQ platform, ensuring seamless integration between a modern web UI and backend application services.
- Architect and implement scalable APIs and microservices on a major cloud platform, leveraging managed compute and storage services to support complex supply-chain intelligence workflows.
- Design and optimize data persistence and retrieval across both relational data models and graph-based relationship mapping, ensuring high performance, integrity, and maintainability.
- Drive delivery of AI-assisted capabilities by integrating managed foundation-model/LLM services and orchestration patterns into the application architecture to enable intelligent extraction and relationship inference.
- Partner closely with product, data science, and platform/operations teams to translate business needs into robust, measurable, client-impacting solutions for automotive OEMs.
- Champion engineering excellence through coding standards, code reviews, testing strategy, security practices, and performance optimization across the full stack.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience).
- 15+ years of hands-on software development experience, including 5+ years in full-stack roles demonstrating depth across UI and backend development.
- Strong proficiency with modern frontend frameworks and backend application frameworks (e.g., web UI frameworks plus service-layer development in a major backend language ecosystem).
- Proven experience designing and delivering API-first systems and microservices architectures on cloud platforms (AWS, Azure, or Google Cloud Platform).
- Deep understanding of relational databases and NoSQL/graph databases, including schema design, query optimization, and operational concerns.
- Demonstrated ability to architect scalable, secure, maintainable systems while balancing technical debt and business priorities.
- Experience integrating AI/ML features, particularly using LLMs via managed enterprise platforms (e.g., Amazon Bedrock, Azure Open AI, or Google Gemini).
- Hands-on experience with containerization and orchestration in cloud-native environments.
- Track record implementing CI/CD pipelines and infrastructure-as-code practices in production environments.
- Experience building data processing/ETL workflows using managed cloud services.
Benefits
- Health & Wellness: Health care coverage designed for the mind and body.
- Flexible Downtime: Generous time off helps keep you energized for your time on.
- Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
- Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
- Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
- Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.
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