Responsibilities
- Collaborate with development teams to create innovative AI-driven tools tailored to client needs.
- Guide technical strategy and implementation for forensic cases involving AI-generated content, including misuse of large language models, deepfakes, synthetic media, and AI-facilitated fraud.
- Build, implement, and verify detection systems for deepfakes and multi-modal AI forensic technologies to authenticate diverse digital evidence at scale.
- Conduct attribution and provenance analysis of AI-generated content, including identifying authors of LLM-produced text, fingerprinting models, inferring training data, and analyzing C2PA manifests.
- Utilize retrieval-augmented generation and structured output frameworks powered by large language models to improve investigative efficiency and analytical capacity.
- Analyze adversarial prompts, detect prompt injection attacks, and assess vulnerabilities in AI systems related to legal, regulatory, or investigative matters.
- Create scalable forensic data processing pipelines and investigative tools for handling heterogeneous datasets such as unstructured text, media files, model outputs, and system logs.
- Act as a technical authority advising legal teams and executives on complex issues involving AI, synthetic media, and data authenticity, translating findings into clear, court-ready reports and testimony.
- Develop and deliver training on responsible use of LLMs, detection of AI-generated content, forensic preparedness, and AI governance frameworks for clients and internal staff.
- Lead multidisciplinary investigations requiring integration of technical analysis, legal considerations, digital forensics, and stakeholder coordination under tight timelines.
- Provide guidance and professional development support to junior engineers and analysts.
- Participate in internal projects, knowledge sharing, and initiatives that advance technical capabilities and practice growth.
Work Arrangement
Hybrid — United States
Other
- Applicants for U.S. positions must submit a resume that includes their current address, personal email, and phone number.
- Employees are expected to work in person for at least 3 to 4 days per week, which may involve travel to company offices or client sites, with schedules coordinated in alignment with team requirements.
