Job description

The Opportunity As a SRE - Enterprise & Cloud Security - AI Driven Security Senior Associate you will support the design, development, deployment, monitoring, and maintenance of AI-enabled security solutions within our Advisory practice. As a Senior Associate you will analyze complex problems, manage assigned workstreams, build meaningful client connections, guide junior team members, and use critical thinking to break down technical concepts while adapting to changing client needs and priorities. In this role at PwC, you will apply artificial intelligence engineering and cybersecurity methods to help design scalable systems, interpret data to inform recommendations, and contribute to work that strengthens enterprise and cloud security across client environments. Responsibilities - Designing and deploying AI-enabled security solutions that support enterprise and cloud environments - Developing machine learning workflows, data pipelines, and model implementation processes for scalable security use cases - Analyzing complex security and data challenges to identify patterns, risks, and opportunities for automation - Applying Python, Java, TensorFlow, and machine learning libraries to build and refine AI-driven capabilities - Evaluating data quality, integration, and modeling approaches that support secure and reliable system performance - Supporting client engagements by translating technical findings into clear recommendations and implementation steps - Reviewing work products for accuracy, consistency, and alignment with professional and technical standards - Guiding junior team members through technical tasks, issue resolution, and delivery activities - Building relationships with client stakeholders to understand security needs and evolving business context - Contributing to the design of scalable security controls across identities, infrastructure, and cloud platforms What You Must Have - At least a Bachelor's degree - At least 3 years of experience What Sets You Apart - Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering - At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Demonstrating hands-on work in cloud security, AI security, or cyber risk - Applying data analysis and scripting skills to security use cases - Interpreting technical findings for client-facing deliverables and recommendations - Collaborating across teams while mentoring junior professionals The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: pwc.to As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.  PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: pwc.to. Learn more about how we work: pwc.to For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

Requirements

Must-haves

Designing and deploying AI-enabled security solutions that support enterprise and cloud environments
Developing machine learning workflows, data pipelines, and model implementation processes for scalable security use cases
Analyzing complex security and data challenges to identify patterns, risks, and opportunities for automation
Applying Python, Java, TensorFlow, and machine learning libraries to build and refine AI-driven capabilities
Evaluating data quality, integration, and modeling approaches that support secure and reliable system performance
Supporting client engagements by translating technical findings into clear recommendations and implementation steps
Reviewing work products for accuracy, consistency, and alignment with professional and technical standards
Guiding junior team members through technical tasks, issue resolution, and delivery activities
Building relationships with client stakeholders to understand security needs and evolving business context
Contributing to the design of scalable security controls across identities, infrastructure, and cloud platforms
What You Must Have
At least a Bachelor's degree
At least 3 years of experience
What Sets You Apart
Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
Demonstrating hands-on work in cloud security, AI security, or cyber risk
Applying data analysis and scripting skills to security use cases
Interpreting technical findings for client-facing deliverables and recommendations
Collaborating across teams while mentoring junior professionals

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningpythonjavaawsazure

Platform: phenom
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401k