Lead Software / MLSecOps AI Security Platform

Key Responsibilities
Design, implement, and maintain secure ML pipelines for AI/ML model evaluation, validation, deployment, and inference
Assess and mitigate security risks throughout the ML lifecycle, including data ingestion, model storage, and deployment
Evaluate, secure, and govern AI coding agents, autonomous agents, and agentic workflows used throughout the software development lifecycle
Define and implement security guardrails for AI-assisted software development platforms, agent orchestration frameworks, and autonomous development pipelines
Develop and operationalize an Agentic Development Lifecycle (ADLC) framework incorporating security requirements, threat modeling, testing, deployment governance, and continuous security monitoring
Evaluate AI Security Posture Management (AI-SPM) capabilities and establish processes to identify, categorize, prioritize, and remediate risks associated with AI assets, agents, prompts, datasets, and AI-enabled applications
Assess emerging threats affecting frontier AI models and agentic systems and recommend preventive and detective security controls to reduce enterprise risk
Develop and maintain AI/ML pipeline code using Python and CI/CD, ensuring robust security controls and adherence to best practices
Integrate security scanning of AI/ML models into development workflows using a shift-left approach, interpret scan results, and remediate identified issues
Evaluate and optimize model inference deployment strategies while balancing security, performance, and resource utilization
Monitor vulnerabilities affecting machine learning models, Large Language Models (LLMs), and AI agents, including prompt injection, data poisoning, model theft, and adversarial attacks
Collaborate with data scientists, ML engineers, and security teams to promote secure ML practices
Establish strong partnerships with stakeholders across technology and product organizations
Perform other duties as required

Required Qualifications
8+ years of experience
Bachelor's degree in Computer Science, Information/Cyber Security, Computer Systems Engineering, Computer Information Systems, or equivalent education and experience
CEH
CISSP
CSSLP
GCIA
GPEN
GWAPT

Skills
MLOps Pipelines
Python Programming
CI/CD Pipelines
AI Coding Assistants and Coding Agents
AI-Driven Development
Agentic Architectures
Agent Security Controls
ML Security Tools
OWASP AI/ML Vulnerabilities
AI/ML Model Formats
Structured and Unstructured Data Systems
Databricks
Internet Technologies and Web Development
Cloud and Container Security
RESTful Web Services Development
Microservices Architecture
Software Engineering
Threat Modeling
AI Governance
AI Security Posture Management
Agentic Development Lifecycle
Cross-functional Collaboration
Stakeholder Communication
Agile Delivery
Shift-Left Security
Vulnerability Assessment

Schedule
Start date: 2026-10-27