Senior AI Security Architect: Guard AI Platforms & Data

SMART TECH SKILLS LLC; Reading (Berks County); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive salary

Job summary

SMART TECH SKILLS LLC is seeking an experienced security professional to protect AI platforms, models, and agentic systems within a regulated financial services context. You will shape secure AI architectures, governance controls, data protection, and threat mitigation across the AI ecosystem.

The role emphasizes collaboration with security and delivery teams, evaluating platform changes, and establishing guardrails to prevent data leakage, prompt injection, and model abuse.

Qualifications

• 5+ years of security engineering or architecture experience in AI/ML contexts.
• Experience with LLM risk mitigation, RAG, prompts, data protection.
• Proficient with SIEM, EDR, DLP, IAM, CASB and data governance tools.
• Familiarity with NIST AI RMF, FFIEC, and regulated financial services environments.
• Ability to lead DevSecOps and CI/CD security reviews.

Responsibilities

• Architect secure deployment patterns for AI platforms, agentic systems, AI agents, and AI-generated code.
• Evaluate AI platform releases for security impact before adoption.
• Configure governance controls and guardrails across AI platforms.
• Implement access controls, logging, monitoring, and data protection across the AI ecosystem.
• Monitor AI usage to identify security and access risks.
• Assess tools, models and emerging threats; report KPIs and remediation recommendations.

Skills

Security architecture

AI/ML security

CI/CD security

Threat modeling

Security governance

Cloud security (Azure)

Tools

Azure AI Foundry

Microsoft Purview

Defender for Cloud Apps

Splunk

OpenAI / ChatGPT

GitHub Copilot

Job description

SMART TECH SKILLS LLC is seeking an experienced security professional to protect AI platforms, models, and agentic systems within a regulated financial services context. You will shape secure AI architectures, governance controls, data protection, and threat mitigation across the AI ecosystem.

The role emphasizes collaboration with security and delivery teams, evaluating platform changes, and establishing guardrails to prevent data leakage, prompt injection, and model abuse.