AI Security Architect

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

Benefits:

• Competitive salary

Location

Onsite in Malvern, PA.

Experience Level

Mid–Senior Level (5+ years of relevant experience).

Role Overview

We are seeking an experienced security professional to secure AI platforms, models, agentic systems, and AI-enabled integrations. This role focuses on secure AI architecture, governance controls, data protection, threat mitigation, and continuous monitoring across the AI ecosystem. The position will evaluate platform changes, establish guardrails, and address risks involving LLMs, RAG, APIs, prompt injection, data leakage, and model abuse. The role will collaborate across security and delivery functions within a regulated financial services environment.

Key Responsibilities

AI Security Architecture & Governance

• Architect secure deployment patterns for AI platforms, agentic systems, AI agents, and AI-generated code.
• Evaluate AI platform releases, feature updates, and configuration changes for security impact before adoption.
• Configure native governance controls and security guardrails across AI platforms.

Access Control & Integration Security

• Implement access controls, logging, monitoring, and data protection across the AI ecosystem.
• Secure AI connectors, plugins, APIs, and integrations using least-privilege permissions.
• Monitor AI usage continuously to identify security and access risks.

Data Protection & Threat Mitigation

• Govern sensitive data and PII flows through AI tools using classification, labeling, and DLP practices.
• Mitigate risks involving prompt injection, data leakage, model abuse, LLMs, agentic AI, and RAG implementations.
• Apply SIEM, EDR, DLP, IAM, CASB, Microsoft Purview, Defender for Cloud Apps, and Splunk capabilities to AI use cases.

Security Assessment & Reporting

• Assess AI tools, models, and emerging threats for security risks.
• Perform security reviews supporting DevSecOps and CI/CD practices.
• Report KPIs, KRIs, security findings, and remediation recommendations.

Required Qualifications

• 5+ years of experience with security engineering or architecture, including hands-on AI/ML platform security.
• Proficiency in Azure AI Foundry, Microsoft Copilot, Claude, OpenAI/ChatGPT, GitHub Copilot, and native governance controls.
• Experience with LLMs, agentic AI, RAG, APIs, prompt injection, data leakage, and model abuse risk mitigation.
• Experience with SIEM, EDR, DLP, IAM, CASB, Microsoft Purview, Defender for Cloud Apps, and Splunk for AI use cases.
• Experience with NIST AI RMF, FFIEC, DevSecOps, CI/CD security reviews, and regulated financial services environments.

Preferred Qualifications

• Experience assessing emerging AI threats and security risks across AI tools and models.
• Experience reporting security KPIs, KRIs, findings, and remediation recommendations.

Core Skills & Attributes

• Strong security architecture and risk assessment skills.
• Ability to evaluate rapidly evolving AI technologies and emerging security threats.
• Strong analytical skills for identifying security findings and developing remediation recommendations.
• Ability to collaborate effectively across security and delivery functions.
• Detail-oriented approach to governance, monitoring, and data protection.
• Excellent verbal and written communication skills.