Senior Data and AI Cybersecurity Architect
Job Description
CenterPoint Energy is looking for a Senior Data and AI Cybersecurity Architect to help shape security architecture across enterprise data platforms and AI-enabled solutions in a highly regulated critical infrastructure environment. This onsite role in Houston focuses on designing and governing secure-by-design guardrails for databases, LLMs, and automation capabilities, with resilient protections built in from the start.
You will define enterprise standards and review security for data and AI use cases that support business operations, analytics, automation, and decision support. The work includes embedding security through development pipelines and providing architecture oversight during risk assessments and third-party reviews.
Responsibilities
- Define and maintain enterprise data and AI security architecture standards, patterns, and reference models aligned to regulatory and critical infrastructure requirements
- Partner with development teams to embed security from design through deployment across CI/CD using DevSecOps and MLSecOps
- Assess and mitigate AI security and compliance risks such as prompt injection, data poisoning, and model extraction
- Secure interfaces where AI models interact with users and applications
- Implement controls to monitor AI outputs for data leakage and unauthorized data access
- Provide security architecture oversight for AI use cases supporting operations, analytics, automation, and decision support
- Architect and guide enterprise data security programs including Data Classification, Data Loss Prevention, Data Encryption, and Database Activity Monitoring
- Design automated workflows to discover, classify, and label sensitive data across structured and unstructured sources
- Architect Zero Trust models for data access and enforce encryption and data security standards
- Assess and govern immutable backups and data restoration strategies to support business continuity against catastrophic loss and data unavailability
- Conduct threat modeling and security architecture reviews for data and AI solutions
- Identify attack paths, control gaps, and compensating controls across integrated multi-cloud environments
- Serve as a subject matter expert for data and AI security in risk assessments and third-party reviews
Requirements
- Bachelor's degree in Cybersecurity, Computer Science, Information Technology, or related field
- Strong understanding of enterprise data platforms, cloud and hybrid environments, and AI/ML or advanced analytics systems
- Experience with implementing OWASP Top 10 for LLMs and the NIST AI Risk Management Framework
- Experience with Data Classification / DLP / DSPM / AiSPM security tools
- Knowledge of cloud infrastructure security standards for Azure and GCP
- Excellent problem-solving and analytical skills
- Strong communication and collaboration skills
- Relevant certifications such as CISSP, CCP, or other relevant cloud or AI security certifications preferred
- Familiarity with regulatory requirements and utility-specific standards such as ISO 27001 and NIST preferred
Technologies
- DevSecOps, MLSecOps
- OWASP Top 10 for LLMs
- NIST AI Risk Management Framework
- Data Classification, DLP, DSPM, AiSPM
- Azure, GCP
- ISO 27001, NIST
- CISSP, CCP
Benefits
- Competitive pay
- Paid training
- Benefits eligibility begins on your first day
- Transit subsidies
- Flexible work schedule, paid holidays, and paid time off
- Access to discounts at fitness clubs and an on-site wellness center at headquarters in Houston
- Professional growth and development programs including tuition reimbursement
- 401(k) Savings Plan with a company match dollar-for-dollar up to 6% and a company contribution of 3% regardless of your contribution
Location: Houston, TX, US (onsite)
Education: Bachelor's degree in Cybersecurity, Computer Science, Information Technology, or related field