Head of DTS AI and Automation Architecture

S&P Global • Princeton, NY

29d

About The Position

The Digital Technology Services Leadership (DTS) team is a fast-paced, energetic, and high-performing team at the heart of S&P Global in the Digital Solutions organization . DTS provides services across a broad range of technical disciplines and leverages investment in world-class technologies in support of S&P Global's products and clients. Th e Head of AI and Automation Architecture will partner closely with the Enterprise Program Management, Enterprise Architecture , and DTS product teams to architect and redesign core business systems and processes .

Requirements

• Bachelor's degree in Computer Science , Engineering, or related technical field, or equivalent work experience
• 7+ years of software development experience with proven leadership and team management skills
• Strong proficiency with modern LLM/SLM ecosystems, vector retrieval architectures, semantic search, and tool‑calling/agent frameworks.
• Strong proficiency in programming languages such as Java, Python, C#, or JavaScript
• Extensive experience with workflow engines, event‑driven architectures, distributed systems design, and enterprise integration patterns.
• Ex perience with cloud platforms such as AWS, Azure, and Google Cloud Platform , including leadership designing cloud‑scale AI inference architectures (GPU/accelerator workloads, Kubernetes‑based model serving)
• Demonstrated success influencing executives, engineering leaders, and cross‑functional teams in complex, multi‑stakeholder environments.
• Solid understanding of software architecture patterns, microservices, and distributed systems
• Experience with agile development methodologies and DevOps practices

Nice To Haves

• Experience leading engineering teams in financial services or data-driven organizations
• Strong grounding in enterprise security architecture: zero trust, identity‑aware agents, policy engines, model risk frameworks
• Familiarity with CI/CD and development platforms including but not limited to Jenkins, Git Hub , or Azure DevOps
• A bility to translate ambiguous business problems into scalable, AI‑native architectural strategies.
• Strong communication skills with ability to present technical concepts to both technical and non-technical stakeholders

Responsibilities

• AI & Agentic Systems Strategy
• Establish enterprise-wide AI and agentic systems architecture standards, reusable patterns, and reference models .
• Define the reference architecture for deploying Autonomous Agents and Multi-Agent Systems (MAS) within the enterprise infrastructure.
• Architect end‑to‑end model lifecycle platforms—including training, evaluation, deployment, and monitoring—and integrate with enterprise MLOps /AIOps capabilities.
• Lead the transition from deterministic RPA (task automation) to probabilistic, reasoning-based Agentic workflows.
• Work with the Enterprise Agent Framework ( EAF ) initiative to establis h governance, guardrails, and "human-in-the-loop" protocols for autonomous system decision-making.
• Partner with InfoSec to embed AI‑specific risk management, zero‑trust patterns, and regulatory compliance into all automation and agentic workflows.
• Define standards for model selection (LLM vs. SLM), retrieval augmentation, vector indexing, and tool‑calling frameworks
• Process Re-Engineering & Optimization
• Partner with Enterprise Program Management Office ( EPMO ) COE and business stakeholders to deconstruct legacy workflows, identifying bottlenecks that require architectural redesign rather than simple digitization.
• Apply systems thinking to simplify and synthesize processes before automating them, ensuring we do not automate inefficiency.
• Create a process ‘digital twin’ capability to simulate workflow changes before production deployment.
• Automation & Orchestration Architecture
• Own the architecture for technology stack for hyper-automation (e.g., RPA platforms, Orchestrators, iPaaS, and Vector Databases).
• Design the integration layer that allows AI Agents to securely interact with core systems of record (ERP, CRM, ITSM).
• Oversee the "Automation Center of Excellence" ( CoE ) strategy, setting standards for code reusability and bot lifecycle management.
• Leadership & Evangelism
• Lead a specialized team of solution architects and engineers.
• Act as the primary liaison between the DTS and DS groups, EPMO / Transformation office, and key business stakeholders, translating complex AI and automation capabilities into tangible ROI.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager