About the Role:

Grade Level (for internal use):

Team: S&P Global Ratings

The role: Agentic AI Senior Software Engineer

Location: NJ or NY (2 days onsite a week)

Role Summary

This Senior role anchors the Agentic AI strategy within the S&P Global Ratings Quality Engineering organization. You will design and implement AI-driven solutions that transform QE practices—enabling autonomous testing, predictive insights, and intelligent decision-making.

As a hands-on technical architect, you will collaborate across Engineering, Product, Data Science, and Transformation teams to embed Agentic AI into the QE lifecycle—without direct people management responsibilities.

Key Outcomes

• Architect and implement Agentic AI platforms for autonomous testing and defect triage.

• Integrate AI copilots and LLM-powered agents into QE workflows.

• Drive adoption of AI decision frameworks to enhance engineering effectiveness.

• Collaborate with customer experience advocates to align AI quality insights with customer journeys.

• Partner and embed AI maturity benchmarks (e.g., TMMi).

• Enable QE through intelligent environments, data observability, and ethical AI governance.

Strategic Responsibilities

• Define and execute the Agentic AI architecture roadmap for QE transformation.

• Evaluate and integrate LLMOps, GenAI, and autonomous agent frameworks.

• Lead AI experimentation labs to validate use cases and proofs of concept.

• Ensure AI solutions are scalable, secure, and compliant with enterprise standards.

• Stay current with advancements in Agentic AI, GenAI, and AI-powered DevSecOps.

Required Skills & Experience

• 15+ years in Quality Engineering or Software Engineering, with deep hands-on expertise in AI/ML.

• Proven experience in AI/ML applications for QE, including GenAI, LLMOps, and intelligent automation.

• Strong proficiency in AI model testing, data observability, and AI governance.

• Hands-on skills in Python, Azure AI, ML pipelines, and containerized environments.

• Familiarity with data privacy regulations, ethical AI, and secure engineering practices.

• Ability to work across Product, Engineering, CX, and Transformation teams.

Preferred Qualifications

• Experience in regulated industries (e.g., finance, healthcare, telecom).

• Certifications in AI/ML, Generative AI, or Enterprise AI Strategy.

• Knowledge of DevSecOps, TMMi, and AI adoption frameworks.

What’s in it for You?

• Lead the Agentic AI transformation within a global Quality Engineering function.

• Shape the future of AI-augmented enterprise quality, setting industry benchmarks.

• Drive measurable outcomes in efficiency, engineering effectiveness, and user-centric quality.

• Collaborate with global teams in a dynamic, inclusive, and innovation-driven environment.

Right to work requirements:

This role is open only for candidates with indefinite right to work within the USA.

Compensation/Benefits Information (US Applicants Only):

S&P Global states that the anticipated base salary range for this position is $110,000 – $170,000. Final base salary for this role will be based on the individual’s geographical location as well as experience and qualifications for the role.
In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan.
 

This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here.

About S&P Global Ratings
At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential t