About the Role:

Grade Level (for internal use):

Key Responsibilities

• Design and build agentic AI platform components including agents tools workflows and integrations with internal systems.
• Implement observability across the AI lifecycle: tracing logging metrics and evaluation pipelines to monitor agent quality cost and reliability.
• Translate business problems into agentic AI solutions by collaborating with product SMEs and platform teams on data model and orchestration requirements.
• Develop and maintain data pipelines features and datasets for training evaluation grounding and safety of LLM-based agents.
• Lead experimentation and benchmarking: Testing of prompts models and agent workflows; analyze results and drive iterative improvements.
• Implement guardrails safety checks and policy controls across prompts tool usage access and output filtering to ensure safe and compliant operation.
• Create documentation runbooks and best practices; mentor peers on agentic AI patterns observability-first engineering and data/ML hygiene.

Core Skills Required

• Proficiency in programming languages such as Python with strong software engineering fundamentals.
• Solid understanding of LLM / GenAI fundamentals: prompting embeddings vector search RAG and basic agentic patterns (tool use planning orchestration).
• Experience running production systems or data pipelines on cloud computing platforms such as AWS / Azure / GCP using containers serverless and managed storage/services.
• Hands-on familiarity with observability tools (OpenTelemetry Prometheus Grafana ELK etc.) across logs metrics and traces.
• Comfort working with structured and unstructured data; strong SQL plus experience with Pandas / Spark / dbt or similar frameworks.
• Ability to reason clearly about reliability performance and cost trade-offs.
• Strong collaboration and communication skills; ability to translate complex concepts for platform product data security and compliance teams.

Qualifications

• 36 years of experience in software engineering data engineering ML engineering data science MLOps roles.
• Bachelors or Masters degree in Computer Science Engineering Data Science or equivalent practical experience.
• Experience with CI/CD code reviews and modern engineering best practices.
• Nice to Have:
  • Exposure to agentic AI frameworks (LangChain LangGraph OpenAI Agents etc.)
  • Experience with LLM observability eval frameworks or prior work on production LLM/agent systems.

What Were Looking For Beyond skills and experience we want engineers who:

Build for scale: Think like platform builders and design systems that work across teams not just for todays use case.

Lead with observability: Instrument first debug with data and deliver dashboards that reveal the truth.

Ship safely: Never deploy without guardrails or validations even if it adds upfront effort.

Make thoughtful trade-offs: Clearly articulate decisions around cost quality latency and reliability.

Own the end-to-end stack: Move comfortably between data pipelines agent logic infrastructure and production monitoring.

Learn through experimentation: Test ideas study failures iterate rapidly and improve continuously.

Communicate with impact: Explain complex AI concepts in simple business-relevant terms to technical and non-technical stakeholders.

Stay ahead of the curve: Actively explore emerging technologies like LangGraph agentic frameworks and new LLM capabilities.

Whats In It For You

Our Mission:

Advancing Essential Intelligence.

Our People:

Were more than 35000 strong worldwideso were 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 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. Were committed to a more equitable future and to helping our customers find new sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.

Our Values:
Integrity Discovery Partnership

Throughout our history the worlds leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do bring a spirit of discovery to our work and collaborate in close partnership with each other and our customers to achieve shared goals.

Benefits:

We take care of you so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global.

Our benefits include:

• 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: Its 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 awardssmall perks can make a big difference.

For more information on benefits by country visit: Hiring and Opportunity at S&P Global:

At S&P Global we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills experience and contributions. Our hiring practices emphasize fairness transparency and merit ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration we drive innovation and power global markets.

Recruitment Fraud Alert:

If you receive an email from a domain or any other regionally based domains it is a scam and should be reported to. S&P Global never requires any candidate to pay money for job applications interviews offer letters pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines fraudulent domains and how to report suspicious activityhere.

Required Experience:

IC