Director, AI-Driven Applications

S&P Global

Director of AI-Driven Applications leading strategic and technical initiatives at S&P Global Energy. Responsible for architecting AI solutions and mentoring a high-performing engineering team.

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

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformMicroservicesNoSQL

About the role

Key responsibilities & impact

Define the enterprise AI application strategy, roadmap, and governance frameworks aligned with business objectives
Lead the design and delivery of production AI applications using LLMs, multi-agent systems, retrieval-augmented generation (RAG), and fine-tuning pipelines
Architect end-to-end agentic AI workflows: autonomous planning, tool use, memory management, and multi-agent orchestration
Evaluate and select AI frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, custom) appropriate to enterprise scale and security requirements
Champion responsible AI principles - explainability, bias mitigation, auditability, and data privacy
Design and govern enterprise data models supporting AI feature engineering, vector embedding stores, knowledge graphs, and real-time inference pipelines
Define ontologies, taxonomies, and semantic layers that enable AI systems to reason over structured and unstructured enterprise data
Oversee the architecture of data platforms including data lakes, lakehouses, streaming pipelines, and feature stores
Establish data quality, lineage, and observability standards to ensure model reliability in production
Own and evolve the enterprise architecture for AI integration across cloud, hybrid, and on-premise environments
Drive architecture decisions across the full AI stack: model serving, API gateways, orchestration layers, observability, and security
Align AI architecture with enterprise platforms and integration patterns (event-driven, microservices, API-first)
Establish architecture review boards, design patterns, and reusable accelerators to scale AI delivery across business units
Build, mentor, and lead a high-performing team of AI and Software engineers, data architects, and solution architects
Partner with C-suite, business unit heads, and product leaders to identify and prioritize AI opportunities
Represent the AI architecture function to executive stakeholders, board-level audiences, and external partners
Drive a culture of continuous learning, experimentation, and engineering excellence
Success Metrics (First 12 Months): Deliver an enterprise AI application roadmap adopted by executive leadership; Ship at least two flagship agentic AI applications to production at enterprise scale; Establish reusable AI architecture patterns and accelerators reducing delivery time by 30%+; Build and grow a team of AI engineers and architects; Define, publish, evangelize enterprise AI governance and data modeling standards.

Requirements

What you’ll need

12+ years of progressive experience in software/data/AI architecture with 5+ years in a leadership role
Proven delivery of enterprise-scale AI or ML applications in production environments
Deep expertise in at least two major cloud platforms (AWS, Azure, GCP) and associated AI/ML services
Strong background in data modelling and data platform design (relational, NoSQL, graph, vector)
Demonstrated experience architecting agentic AI solutions using LLMs and orchestration frameworks
Excellence in stakeholder communication, able to translate technical concepts for executive audiences.
Additional Preferred Qualifications: Experience in regulated industries (financial services, healthcare, government) with AI governance requirements.
Published research, patents, or open-source contributions in AI/ML.
Certifications: AWS Solutions Architect Professional, Google Cloud Professional Data Engineer, or equivalent.
Experience with TOGAF, Zachman, or other enterprise architecture frameworks.

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.

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Hard Skills & Tools

AI application strategyproduction AI applicationsLLMsmulti-agent systemsretrieval-augmented generationdata modelingdata platform designcloud platformsAI governanceenterprise architecture

Soft Skills

leadershipstakeholder communicationmentoringteam buildingcontinuous learningengineering excellencecollaborationstrategic thinkingproblem-solvingadaptability

Certifications

AWS Solutions Architect ProfessionalGoogle Cloud Professional Data Engineer