Associate Director, AI Application Engineering

S&P Global

Lead AI Application Engineering at S&P Global Energy, designing and deploying AI-driven applications. Collaborate with engineering teams to govern AI solutions and enhance technical strategies.

Posted 5/12/2026full-timeAhmedabad • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformMicroservicesNoSQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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.

Benefits

Comp & perks

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.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI application designLLMsmulti-agent systemsRAGintelligent automationdata modelingfeature engineeringvector embeddingssemantic searchMLOps

Soft Skills

team leadershipmentorshipcommunicationtechnical directionrisk managementquality assurancecollaborationplanningestimationpresentation skills