Head of Agentic Engineering

S&P Global

Confirmed live today High trust

Quick summary

Work type
On-site
Location
New York, NY
Salary
$220,000–$325,000 / yr
Posted
7 days ago
Freshness
Confirmed live today
Closes
Sep 25, 2027

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $219k
This role $272k
$149k most similar roles pay here $344k

This role pays more than 76% of similar roles. Most pay $173,375–$264,187 — the shaded band above. At the midpoint, this role pays about $272k versus about $219k for comparable roles.

Based on 240 similar postings.

Employer

About S&P Global

S&P Global delivers Essential Intelligence® that shapes decision making. We provide the world’s leading organizations with the right data, connected technologies and expertise they need to move ahead.

S&P Global currently has 43 open roles on FindRole.

Listed pay typically runs $148,761–$201,133 across 38 roles with salary data.

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View all roles at S&P Global

At a glance

TL;DR · Head of Agentic Engineering

As the Global Head of Agentic Engineering, you will lead a pioneering team within S&P Dow Jones Indices Technology to build autonomous and semi-autonomous agent systems. You will define the global framework for agentic engineering, including reference architectures, orchestration patterns, and evaluation systems while transitioning traditional software development into spec-driven processes. Your daily work involves building automated quality engineering capabilities, establishing governance frameworks in regulated environments, and leading a high-performing team of engineers. The role requires deep expertise in LLM-based agents, LangChain, AutoGen, retrieval systems, and CI/CD pipelines like Jenkins or GitLab CI. You will solve complex problems regarding agentic systems in the context of global benchmark administration, ensuring rigorous quality standards and compliance for mission-critical financial data while driving organizational change through technical leadership and executive communication across the broader technology organization.

What you'll do

  • Define and deliver the global agentic engineering framework including reference architecture, orchestration patterns, and evaluation systems.
  • Lead the transition from traditional software development to spec-driven, agent-driven processes with full traceability.
  • Build and implement automated quality engineering capabilities for code assessment and self-maintaining test suites.
  • Establish governance frameworks for agentic systems in coordination with Risk, Compliance, and Information Security teams.
  • Translate complex technical capabilities into business value for non-technical stakeholders and executive leadership.
  • Lead a high-performing team of engineers while increasing organizational fluency in agentic technologies.

What we're looking for

  • Expertise in agentic technologies including LLM-based agents, orchestration frameworks like LangChain or AutoGen, and retrieval systems.
  • Experience applying AI agents to software development lifecycle processes such as code generation, review, and automated testing.
  • Strong foundations in software and quality engineering, including CI/CD pipelines, test architecture, and performance engineering.
  • Proven track record of building and leading engineering teams and driving organizational transformation.
  • Executive-level communication skills to influence technical and non-technical stakeholders like CTOs and risk committees.
  • Ability to assess risks and implement mitigation strategies for autonomous systems in regulated environments.
  • Experience in financial services, market data, or other highly regulated domains (preferred).
  • Familiarity with enterprise-scale data quality frameworks and AI risk management governance (preferred).

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