About the Role:

Grade Level (for internal use):

12

S&P Global Energy

The Role- Associate Director, AI Application Engineering

The Team: 

We are looking for a highly motivated, enthusiastic, and skilled engineering leader for S&P Global Energy. We strive to deliver solutions that are sector-specific, data-rich, and hyper-targeted for evolving business needs.

The Impact:  
S&P Global Energy is seeking a Associate Director of AI Application Engineering who is a senior technical role that bridges hands-on AI engineering with architectural leadership. This individual will design, build, and govern AI-driven enterprise applications with particular focus on agentic AI solutions, robust data modelling, and scalable system architecture. The role requires both deep technical execution capability and the ability to lead engineering teams and guide technical strategy

What’s in it for you:  
It’s a fast-paced agile environment that deals with huge volumes of data, so you’ll have an opportunity to sharpen your data skills and work on an emerging technology stack.

Responsibilities

AI Application Design & Engineering

Architect, develop, and deploy AI-driven applications leveraging LLMs, multi-agent systems, RAG, and intelligent automation pipelines
Design agentic AI workflows including agent planning loops, tool orchestration, dynamic memory, and human-in-the-loop controls
Own the technical design and build of AI microservices, APIs, and integration layers connecting AI capabilities to enterprise systems
Lead rapid prototyping and proof-of-concept delivery to validate AI approaches before full-scale implementation
Ensure production AI applications meet performance, scalability, reliability, and security requirements
Data Modelling & AI Data Architecture

Design data models and schemas optimized for AI workloads: feature engineering, vector embeddings, semantic search, and LLM context management
Build and maintain knowledge graphs, ontologies, and entity resolution pipelines supporting intelligent agent reasoning
Define data ingestion, transformation, and enrichment pipelines that feed AI feature stores and inference services
Implement data quality, validation, and drift detection frameworks to maintain model accuracy in production
Collaborate with data platform teams to architect lakehouse patterns, real-time streaming, and batch processing for AI use cases
Technical Architecture & Standards

Design reusable AI solution patterns, reference architectures, and component libraries for enterprise deployment
Lead technical design reviews and architecture assessments for AI projects across the organisation
Define and enforce coding standards, testing practices, and MLOps/LLMOps pipelines for AI application delivery
Evaluate emerging AI frameworks, tooling, and models — providing structured technical recommendations
Ensure alignment with enterprise architecture standards, security policies, and cloud governance guardrails
Team Leadership & Delivery

Lead a team of 4–8 AI/ML engineers and data engineers, providing technical direction, mentorship, and career development
Manage the delivery of AI application workstreams: planning, estimation, risk management, and quality assurance
Partner with product managers, data scientists, and business analysts to translate requirements into technical designs
Champion engineering best practices: code review culture, test-driven development, observability, and documentation standards
Success Metrics (First 12 Months)

Deliver AI-driven applications to production, meeting adoption and performance KPIs
Publish a library of reusable AI architecture patterns and component accelerators
Reduce average time-to-production for new AI features by 25% through improved engineering practices
Grow and coach an engineering team achieving high satisfaction and retention scores
Establish LLMOps monitoring and observability across all deployed AI models
 

Basic Required Qualifications

8+ years of experience in software engineering or data engineering, with 3+ years focused on AI/ML application development
Hands-on experience building and deploying LLM-powered applications and multi-agent systems in production
Solid expertise in the modern AI/ML engineering stack
Strong data modelling skills across relational, NoSQL, vector, and graph paradigms
Experience with cloud-native architectures on at least one major platform (AWS, Azure, or GCP)
Demonstrated ability to lead small to medium-sized engineering teams
Strong communication skills able to present technical designs to both engineering and business audiences
 

Additional Preferred Qualifications

Experience with enterprise integration platforms and connecting AI solutions to ERP/CRM/ITSM systems
Familiarity with AI governance, responsible AI frameworks, and compliance requirements
Background in applying AI within specific verticals: financial services, retail, healthcare, or manufacturing
Contributions to open-source AI tooling, technical blog posts, or conference presentations

What’s In It For You?

Our Mission:

Advancing Essential Intelligence.

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. Join us and help create the critical insights that truly make a difference.

Our Values:
Integrity, Discovery, Partnership

Throughout our history, the world's 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 can take care of business. We care about our people. That’s why we provide everything you—and your career—need 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: 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.

For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries

Global Hiring and Opportunity at S&P Global:

At S&P Global, we are committed to fostering a connected and engaged 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 spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. 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 activity here.

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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: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.  
 
US Candidates Only: Know Your Rights: Workplace discrimination is illegal

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20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)