Data Security Engineer

S&P Global

full-time

Posted on: 2/6/2026

Location Type: Office

Location: Hyderabad • India

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About the role

Develop and implement comprehensive AI/ML security strategies, policies, standards, and guidelines to protect organizational assets and ensure the secure operation of AI and ML systems.
Build security control framework and generic reference architectures for GenAI applications.
Assist with identifying security requirements to be followed by LoB/Dev teams when building GenAI applications.
Conduct threat modeling exercises to identify potential security risks and vulnerabilities in AI systems, working closely with AI development teams to integrate security into the design and development processes.
Provide thought leadership and creativity to mature Gen AI security governance embedding into our existing cyber security risk appetite framework.
Perform security assessments on AI applications and systems to identify and address vulnerabilities.
Develop and implement testing methodologies to evaluate the security posture of AI models and frameworks.
Develop configuration hardening guidelines for Cloud Services including native Generative AI/ML services such as AWS SageMaker, SageMaker Notebooks, Bedrock, Kendra, OpenSearch, Lambda, Azure Cognitive Services, Open AI, GCP Vertex AI etc.
Stay updated on relevant regulations and standards related to AI security and ensure compliance.
Collaborate with legal and compliance teams to align AI systems with industry and regulatory requirements.

1–5 years of experience in cyber security, software engineering, data engineering, ML engineering, data science.
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or equivalent practical experience.
Experience with CI/CD, code reviews, and modern engineering best practices.
Strong programming experience in Python (preferred) or equivalent languages.
Solid understanding of LLM/GenAI fundamentals: prompting, embeddings, vector search, RAG, and basic agentic patterns (tool use, planning, orchestration).
Experience running production systems or data pipelines on AWS/Azure/GCP, using containers, serverless, and managed storage/services.
Hands-on familiarity with observability tools (OpenTelemetry, Prometheus, Grafana, ELK, etc.) across logs, metrics, and traces.
Comfort working with structured and unstructured data; strong SQL plus experience with Pandas/Spark/dbt or similar frameworks.
Ability to reason clearly about reliability, performance, and cost trade-offs.
Strong collaboration and communication skills; ability to translate complex concepts for platform, product, data, security, and compliance teams.

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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI security strategiesML security strategiesthreat modelingsecurity assessmentsconfiguration hardeningPythonCI/CDSQLPandasSpark

Soft Skills

collaborationcommunicationthought leadershipcreativityreasoning

Certifications

Bachelor’s degree in Computer ScienceMaster’s degree in Computer Science