Position Summary
If you are a technology visionary with a passion for transforming global tax business with digital technology, consider working with the US Tax Transformation technology team. This is an exciting opportunity to support global execution of Deloitte’s tax strategy as we shift from “doing digital” to “being digital” by reimagining how we engage with our clients, deliver our services, operate our business, and create value.
Work you’ll do
As a Deloitte Lead AI Security Engineer, you will be crucial in safeguarding our advanced AI models, data, and infrastructure. You'll work closely with Data Scientists, Data Engineers, and MLOps/DevOps teams.
Additional responsibilities include:
- Implement defences against AI-specific attacks (adversarial, prompt injection, data leakage)
- Conduct AI-focused security assessments, penetration tests, red/purple team exercises
- Analyse AI system vulnerabilities, develop mitigation strategies, and create AI risk heat maps
- Implement security controls throughout the AI/ML lifecycle (data handling, training with GPU isolation, deployment, monitoring, versioning, provenance). Integrate SAST/DAST for ML artifacts
- Manage audit trails and automated compliance checks
- Implement AI-specific incident response and develop regulatory disclosure playbooks
- Manage AI security monitoring, implement executive dashboards linking security to business KPIs, develop security metrics (Adversarial Risk Score, Model Drift Index)
- Implement secure training environments and fine-grained data access controls
- Contribute to AI-generated fraud detection in transaction monitoring systems.
- Act as an AI security SME, continuously research emerging threats
The Team
Deloitte Tax LLP's Tax Transformation Office (TTO) is responsible for the design, development, and deployment of innovative, enterprise technology, tools, and standard processes to support the delivery of tax services. The TTO team focuses on enhancing Deloitte Tax LLP’s ability to deliver comprehensive, value-added, and efficient tax services to our clients. It is a dynamic team with professionals of varying backgrounds from tax technical, technology development, change management, Six Sigma, and project management. The team consults and executes on a wide range of initiatives involving process and tool development and implementation including training development, engagement management, tool design, and implementation.
Qualifications and Skills
Required:
- Ability to perform job responsibilities within a hybrid work model that requires US Tax professionals to co-locate in person 2 – 3 days per week
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
- Bachelor’s degree in a relevant discipline
- 3+ years’ cybersecurity experience (application, cloud and data security) including translating regulatory frameworks (NIST AI RMF, EU AI Act) into technical controls.
- Demonstrated proficiency in security scripting, automation, and tool development.
- Hands-on experience with the Azure Cloud ecosystem and its security services
- One of the following active accreditations obtained, in process, or willing and able to obtain:
- Licensed CPA in state of practice/primary office if eligible to sit for the CPA
- If not CPA eligible:
- Licensed Attorney
- Enrolled Agent
- Technology Certifications:
- AWS Certified Solutions Architect
- Certified Information Systems Security Professional (CISSP)
- Certified SAFe® Agile Software Engineer
- Certified SAFe® Agilist
- Certified SAFe® DevOps Practitioner
- Certified Secure Software Lifecycle Professional (CSSLP)
- Certified Secure Software Lifecycle Professional (CSSLP) – (ISC)2
- ISTQB (International Software Testing Qualifications Board)
- ITIL Certification
- Microsoft Azure
- SEI - Software Engineering Institute Certification
Preferred:
- Expertise in identifying and mitigating AI/ML security threats, including adversarial attacks, prompt injection, and data leakage.
- Solid knowledge of AI/ML security frameworks (NIST AI RMF, OWASP, ISO/IEC 27001) and ability to apply them as technical controls.
- Experience applying data privacy regulations (GDPR, DORA, EU AI Act) in enterprise AI environments.
- Proficiency with Azure security tools (Sentinel, Monitor, Policy, Purview, Key Vault, Azure ML).
- Hands-on skills in securing and monitoring MLOps/LLMOps pipelines, including data versioning, provenance, GPU isolation, and deployment.
- Ability to automate compliance, incident detection, and security assessments for AI/ML models, using Azure Monitor, KQL, and related tools.
- Experience designing secure training environments and implementing fine-grained data access controls.
- Track record of researching and deploying innovative AI security solutions; recognized as a subject matter expert (SME).
- Strong communication and collaboration abilities with technical and business teams, translating security risks into actionable business insights.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $84,980 to $193,440
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
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