S&P Global
Agentic AI Senior Software Engineer
Senior role within the S&P Global Ratings Quality Engineering organization that anchors the Agentic AI strategy. You will design and implement AI-driven solutions that transform QE practices, enabling autonomous testing, predictive insights, and intelligent decision‑making.
Grade Level:
12 Team:
S&P Global Ratings Location:
NJ or NY (2 days onsite a week)
Role Summary You will act as a hands‑on technical architect collaborating 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 Anticipated base salary range: $110,000 – $170,000, based on location and experience. Eligible for an annual incentive plan.
Benefits
Health & Wellness: Health care coverage designed for the mind and body.
Flexible Downtime: Generous time off to keep you energized.
Continuous Learning: Access to resources for career growth.
Secure Future: Competitive pay, retirement planning, student loan program, financial wellness programs.
Family Friendly Perks: Perks for partners and little ones.
Beyond the Basics: Retail discounts, referral incentives, and other small perks.
Equal Opportunity Employer S&P Global is an equal opportunity employer; all qualified candidates will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, or unemployment status. Only electronic job submissions will be considered.
For accommodations during the application process due to a disability, please email: EEO.Compliance@spglobal.com.
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Grade Level:
12 Team:
S&P Global Ratings Location:
NJ or NY (2 days onsite a week)
Role Summary You will act as a hands‑on technical architect collaborating 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 Anticipated base salary range: $110,000 – $170,000, based on location and experience. Eligible for an annual incentive plan.
Benefits
Health & Wellness: Health care coverage designed for the mind and body.
Flexible Downtime: Generous time off to keep you energized.
Continuous Learning: Access to resources for career growth.
Secure Future: Competitive pay, retirement planning, student loan program, financial wellness programs.
Family Friendly Perks: Perks for partners and little ones.
Beyond the Basics: Retail discounts, referral incentives, and other small perks.
Equal Opportunity Employer S&P Global is an equal opportunity employer; all qualified candidates will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, or unemployment status. Only electronic job submissions will be considered.
For accommodations during the application process due to a disability, please email: EEO.Compliance@spglobal.com.
#J-18808-Ljbffr