Are you passionate about technology and interested in joining a community of collaborative colleagues who respectfully and courageously seek to challenge the status quo? If so, read on to learn more about an exciting opportunity with Deloitte Technology US (DT - US). We are curious and life-long learners focused on technology and innovation.
Recruiting for this role ends on 4/3/2025.

REQUIRED QUALIFICATIONS:

• Bachelor’s degree or equivalent in Computer Science, Computer Engineering, Business Administration
• Minimum 5 years of experience with Cyber Security Architecture or Engineering
• Minimum 2 years of experience building GenAI environments.
• Must be able to obtain US Government security clearance.
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
• Ability to travel up to 10%, on average, based on the work you do and the clients and industries/sectors you serve

PREFERRED QUALIFICATIONS:

• Advanced degrees preferred.
• Certifications in AI/ML technologies and Cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Azure AI Engineer, Azure Data Scientist, or Azure Solutions Architect.
• Experience gathering non-functional requirements, performing designed and validated application architecture frameworks, and executing functional and testing assignments.
• Experience translating requirements into design documents.
• Experience in implementing cloud-based AI/ML workloads on any of AWS, Microsoft, and Azure.

DELOITTE’S CULTURE

Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte.

The AI Security Engineer for GPS Operations will partner with Government Public Sector (GPS) Cyber Teams to deliver AI enabled solutions and capabilities protecting our Firm and our clients. Our Security Architecture, Engineering, and Operations Teams are developing and deploying innovative and industry leading AI solutions in all facets of Cyber Security.
The AI Cyber Security Engineer for GPS Operations lead the effort to model, configure, test, and integrate AI solutions to deliver world class cyber security services and capabilities. This role is pivotal in leveraging Data and AI technologies, requiring a deep understanding of Cyber Security, Governance, Data Science, Statistics, Machine Learning, Generative AI, Large Language Models (LLMs), and Multimodal models. The AI Security Engineer will provide subject matter expertise, technical insight, and develop cyber and AI solutions that will drive and sustain Cyber Security excellence.
The ideal candidate will be passionate about technology, collaboration, cyber, teaching, governance, and management of industrial AI/ML/Generative AI applications. Experience and problem-solving skills will be essential to implement the latest AI and Cyber solutions, and to continuously improve the AI/ML development, delivery, and operations processes. The AI Cyber Security Engineer role involves adhering to best practices and industry standards from Cyber Security, Software Engineering, DevOps, MLOps, and LLMOps. The AI Cyber Security Engineer role requires a unique blend of AI technical expertise and the ability to deliver or enhance Cyber Security to Deloitte and our clients.

Strategic Alignment and Vision

• Represent GPS Cyber Operations AI/ML/GenAI technical direction, service delivery, and support alignment to organizational goals and digital transformation efforts.
• Translate operational requirements into realistic technical implementations, while identifying misaligned initiatives and impractical use cases

Engineering Design and Technology Selection

• Key contributor in creating a comprehensive AI Cyber Security framework for GPS supporting the deployment, evaluation, and management of ML models & GenAI solutions.
• Configure Cyber Security and AI technologies integrating with existing tools and capabilities.
• Understand and contribute to MLOps and LLMOps, focusing on operational capabilities and security infrastructure that may leverage machine learning and large language models.

Collaboration and Stakeholder Engagement

• Collaborate with Enterprise, Application, Data & DevOps Architects, Data scientists, Machine Learning & GenAI Engineers, and Business teams to pilot use cases and discuss Cyber Security Engineering
• Gather inputs from multiple stakeholders to align technical implementation with existing and future requirements.

Operational Excellence and Continuous Improvement

• Be responsible for the successful execution of AI-powered applications using agile methodology.
• Audit AI tools and practices across data, models, and software engineering, focusing on continuous improvement and feedback mechanisms.

Risk Management and Ethical Considerations

• Work closely with Cyber Security and Application Engineers to foresee and mitigate risks, ensure ethical AI implementation and compliance with established standards, norms, and regulations.
• Address potential issues such as training data poisoning, AI model theft, and adversarial samples.

Cyber Security and GPS Business Understanding

• Help Cyber Security and GPS Stakeholders understand the potential and limitations of AI when reviewing, testing, or integrating AI solutions.
• Create or review Cyber Security use-cases and broaden our collective understanding of leading AI technologies, analytics methods, tools, and operating models.