About the Role:

Grade Level (for internal use):

S&P Global Energy

The Role: Lead AI/ML Engineer (Agentic Systems)

Role Summary

As theLead AI/ML Engineer (Agentic Systems) you willarchitect and deliver production-grade autonomous AI workflowsthat go well beyond conversational assistants. This role sits at the intersection ofsoftware engineering data engineering and machine learning engineering buildingstateful goal-driven AI systemsthat canreason plan coordinate and execute complex taskswith appropriate controls.

Responsibilities

1) Agentic Systems Architecture & Core Engineering

• Design and build multi-agent workflows:Lead hands-on engineering ofstateful agentic applicationsusingagent orchestration frameworkscapable of coordinating multiple autonomous components.
• Agent-to-agent collaboration:Define and implementrobust communication patternsthat allow agents to delegate sub-tasks negotiate execution paths and coordinate outcomes in dynamic environments.
• State memory and long-running execution:Engineer control flows fornon-deterministic systems including message passing persistent memory recoverability andinterruptible executionfor long-running tasks.
• Standardized tool interfaces:Establishuniversal interfacesbetween agents enterprise data sources and operational tools to ensure modularity reusability and consistent governance.
• Model integration and runtime optimization:Build routing and fallback strategies across multiple model endpoints; optimizecontext management latency and inference costwhile maintaining reliability.
• Production deployment:Package and deploy workloads viacontainerizationandcluster orchestration usingcloud-native servicesfor scaling isolation and secure runtime operations.

2) Data Engineering & Operational Real-Time Integration

• Build agent-ready data pipelines:Develop and maintainhigh-throughput ingestion and transformation pipelinesthat convert raw operational signals into structured machine-consumable context.
• Real-time context injection:Ensure agents can accessnear-real-time operational databy designing efficient retrieval patterns and optimizingvector databasesand associated retrieval architectures.
• Cross-functional execution:Serve as the technical bridge between AI and data teamstranslating agent needs intoschemas data contracts SLAs and pipeline specifications while resolving bottlenecks hands-on.

3) Observability Governance & Human-in-the-Loop

• LLMOps tracing and debugging:Implement end-to-end observability for agent execution including reasoning traces performance telemetry cost monitoring and production debugging workflows.
• Safety and control frameworks:Designhybrid autonomy modes(human-in-the-loop through fully autonomous) including approval gates policy enforcement and break-glass controls for sensitive operations.
• Evaluation and reliability standards:Establish rigorous testing strategies for stochastic systems; automate evaluation pipelines to measure accuracy failure modes drift and regression risk prior to deployment.

4) Technical Leadership & Strategy

• Define the agentic architecture roadmap:Partner with product and engineering leadership to scope feasibility set technical direction and prioritize high-impact autonomous initiatives.
• Mentorship and engineering standards:Set expectations for code quality architectural patterns and review processes; mentor engineers to level up agentic engineering practices.
• Innovation to production:Rapidly prototype emerging approaches (e.g. advanced retrieval strategies graph-based reasoning patterns) and mature successful experiments into supported production capabilities.

Qualifications

Required

• Experience:7 years in software engineering data engineering and/or machine learning engineering with demonstrated ownership of production systems.
• Generative AI in production:2 years building and deployingLLM-based applications and/or agentic systemsin real-world environments.
• Storage and retrieval expertise:Proven experience designing AI-ready storage layers acrossvector databasesrelational and NoSQL databases and modernlakehouse/warehouse architectures.
• Cloud and infrastructure depth:Strong capability deploying and scaling services on major cloud platforms usingcontainerization cluster orchestration CI/CD and secure runtime practices.
• LLM systems understanding:Strong grasp ofretrieval-augmented generation embeddings context strategies prompt/system design and failure modesin deployed systems.
• Hybrid engineering skillset:Ability to blendML intuition(model behavior uncertainty evaluation) withsoftware excellence(APIs async systems reliability engineering).
• Programming:Advanced proficiency inPythonfor building modular testable maintainable production services.
• Education:Bachelors degree in Computer Science Engineering Mathematics or related technical field (or equivalent experience).

Preferred

• Advanced degree:Masters or PhD in AI Computer Science or another quantitative discipline.
• Deep NLP experience:Extensive applied NLP background spanning classical methods through modern large-model applications.
• Graph-based reasoning:Experience withknowledge graphs / graph databasesandgraph machine learningto support multi-step reasoning and relationship-driven workflows.
• Agentic specialization:Prior implementation of multi-agent coordination advanced tool-use patterns and standardized agent-tool integration approaches.
• Real-time operational environments:Background in domains requiring seconds-to-minutes latency decision support (e.g. energy logistics financial systems).

Why This Role Matters

This role defines how S&P Global Energy moves fromstatic analytics to active autonomous decision workflows. You will help build an AI operating layer that cansense changing conditions plan actions coordinate across specialized agents and execute safelywith the observability governance and reliability required for production. The systems you deliver will become foundational infrastructure:a strategic capability that changes how work is performed scaled and controlled across the organization.

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.

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Equal Opportunity Employer

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity color religion sex sexual orientation gender identity national origin age disability marital status military veteran status unemployment status or any other status protected by law. Only electronic job submissions will be considered for employment.

If you need an accommodation during the application process due to a disability please send an email to:and your request will be forwarded to the appropriate person.

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