below marketmost similar roles pay hereabove market
This role pays less than
90%
of similar roles. Most pay
$154,316–$217,525
— the blue band above.
At the midpoint, this role pays about
$140k
versus about
$186k
for comparable roles.
Based on 240 similar postings.
Employer
About PWC
PwC (PricewaterhouseCoopers) is one of the "Big Four" accounting and professional services firms, providing audit, tax, and advisory services to companies, governments, and institutions worldwide. Industry: Professional Services & Accounting
PWC currently has
101 open roles
on FindRole.
Listed pay typically runs
$99,000–$232,000
across 97 roles with salary data.
As a SRE - Enterprise & Cloud Security - AI Driven Security - Senior Associate, you will join the Advisory practice to support the design, development, deployment, monitoring, and maintenance of AI-enabled security solutions. You will build machine learning workflows, data pipelines, and model implementation processes for scalable security use cases while analyzing complex security and data challenges to identify risks and automation opportunities. Your daily work involves applying Python, Java, TensorFlow, and machine learning libraries to refine AI-driven capabilities and evaluating data quality for secure system performance. You will translate technical findings into clear recommendations for clients and mentor junior team members. This role focuses on strengthening enterprise and cloud security across identities, infrastructure, and cloud platforms by integrating artificial intelligence engineering with cybersecurity methods.
Design and deploy AI-enabled security solutions for enterprise and cloud environments.
Develop machine learning workflows, data pipelines, and model implementation processes for security use cases.
Apply Python, Java, TensorFlow, and machine learning libraries to build and refine AI-driven capabilities.
Analyze complex security and data challenges to identify patterns, risks, and automation opportunities.
Evaluate data quality, integration, and modeling approaches to ensure secure and reliable system performance.
Translate technical findings into clear recommendations and implementation steps for client engagements.
Guide junior team members through technical tasks, issue resolution, and delivery activities.
Contribute to the design of scalable security controls across identities, infrastructure, and cloud platforms.
What we're looking for
At least a Bachelor's degree.
At least 3 years of experience.
Preference for a degree in Analytics/Data Science, AI/Robotics, Computer Science/Information Systems, or Engineering (preferred).
Certifications in data engineering, machine learning, or cloud platforms like AWS, Google Cloud, Microsoft Azure, Databricks, or Snowflake (preferred).
Hands-on work in cloud security, AI security, or cyber risk (preferred).
Proficiency in Python, Java, TensorFlow, and machine learning libraries.
Ability to apply data analysis and scripting skills to security use cases (preferred).
Ability to interpret technical findings for client-facing deliverables and recommendations (preferred).
Python
Java
C++
TensorFlow
Scikit-Learn
AWS
Google Cloud
Microsoft Azure
Databricks
Snowflake
Machine Learning
Data Engineering
AI
Data Modeling
Cybersecurity
Cloud Security
Python
TensorFlow
C++
Java
Scikit-Learn
AWS
Google Cloud
Microsoft Azure
Databricks
Snowflake
Natural Language Processing
Machine Learning
Data Engineering
Data Pipelines
Data Wrangling
Deep Learning
Python
C++
Java
TensorFlow
Scikit-Learn
AWS
Google Cloud
Microsoft Azure
Databricks
Snowflake
Machine Learning
Data Engineering
Data Modeling
Data Wrangling
AI Implementation
Open-source Software
AWS
Microsoft Azure
Google Cloud Platform
Kubernetes
Containers
Infrastructure as Code
CI/CD
DevSecOps
Identity and Access Management
Network Security
Data Protection
Encryption
Zero Trust
SaaS
Cloud Security Architecture
TOGAF
SABSA