Associate Principal Forensic AI Engineer Forensic Services practice
Charles River AssociatesLocation not specified
Full Time
Posted March 4, 2026
$140k - $170k
Not Specified
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Job Description
The position involves leading forensic investigations and developing AI-driven solutions related to synthetic media, deepfake detection, and AI-generated content authentication, while advising clients and legal teams on complex AI and digital forensics issues in a litigation or regulatory context.
Key Responsibilities
- Lead and support forensic investigations involving AI-generated content, deepfakes, synthetic media, and AI-enabled fraud.
- Develop, deploy, and validate AI forensic tools and detection pipelines for analyzing text, images, audio, and video evidence at scale.
- Advise legal counsel and clients on complex AI, media authenticity, and data integrity issues, translating technical findings into clear reports and testimony.
Requirements
- Bachelor's degree required in Computer Science, Electrical Engineering, Data Science, Computational Linguistics, Information Systems, or a related technical field.
- Graduate degree (M.S. or Ph.D.) in Machine Learning, Artificial Intelligence, Computer Vision, Natural Language Processing, or a closely related discipline preferred.
- 8 to 10 years of progressive experience in machine learning engineering, AI research, digital forensics, data science, or a closely related technical field.
- Deep expertise in at least two of the following domains: development, fine-tuning, evaluation, or production deployment of large language models (LLMs) or generative AI systems; synthetic media detection, deepfake analysis, or AI-generated content forensics; natural language processing, computational linguistics, or authorship attribution; digital forensics, incident response, eDiscovery, or cybercrime investigation; consulting delivery, expert witness services, or client-facing technical advisory roles in litigation or regulatory contexts.
- Proficiency with transformer-based large language model architectures such as GPT, LLaMA, Mistral, Gemma, including fine-tuning methodologies like LoRA, QLoRA, instruction tuning, and experience with alignment techniques such as RLHF, RLAIF, DPO.
- Experience with LLM ecosystems and tooling including HuggingFace Transformers, PEFT, Datasets, Evaluate, TRL, inference frameworks like vLLM, llama.cpp, Ollama, and orchestration frameworks such as LangChain and LlamaIndex.
- Experience building, evaluating, and optimizing Retrieval-Augmented Generation (RAG) pipelines using vector databases like Pinecone, Weaviate, ChromaDB, pgvector, and embedding models, including chunking strategies, retrieval evaluation, and hybrid search.
- Competency in deepfake detection methodologies including CNN- and transformer-based detection models trained on datasets such as FaceForensics or DFDC, and analysis of GAN architectures, multimodal artifact inspection, lip synchronization, temporal consistency, audio-visual misalignment, and pixel-level manipulation detection tools like Amped Authenticate or Sensity AI.
- Understanding of content provenance standards including C2PA Coalition for Content Provenance and Authenticity, cryptographic content credentials, digital watermarking approaches such as SynthID, and blockchain-based authenticity verification.
- Experience with NLP-based forensic methodologies including stylometric analysis, semantic embedding-based authorship attribution, human vs. machine-generated text classification, LLM source attribution, model fingerprinting, and training data membership inference.
- Advanced proficiency in Python, with competency in PyTorch and/or TensorFlow for deep learning model development and evaluation, data analysis using pandas, NumPy, scikit-learn, and SQL for structured data querying and investigation support.
- Experience with computer vision libraries such as OpenCV, torchvision, PIL/Pillow, and media forensics tools for EXIF metadata analysis, sensor pattern noise analysis, and compression artifact forensics.
- Familiarity with cloud ML platforms including AWS SageMaker, GCP Vertex AI, Azure Machine Learning, and containerization tools like Docker and Kubernetes for deploying AI forensic tooling in enterprise environments.
- Experience with data engineering frameworks and tools such as Apache Spark, Airflow, and data warehousing platforms like Snowflake, BigQuery, Redshift for processing large-scale unstructured and semi-structured datasets.
- Ability to translate complex technical findings into clear, defensible reports and testimony suitable for judicial and regulatory audiences.
- Ability to lead and support forensic investigations involving AI-generated content, large language model misuse, deepfake media, synthetic voice and video, and AI-enabled fraud or misconduct.
- Ability to develop, deploy, and validate deepfake detection pipelines and multimodal AI forensic tooling to analyze and authenticate text, image, audio, and video evidence at scale.
- Experience performing AI content attribution and provenance analysis, including authorship attribution for LLM-generated text, model fingerprinting, training data inference, and content provenance standards such as C2PA.
- Experience applying LLM-based analytical frameworks, including retrieval-augmented generation (RAG) pipelines, structured output generation, and document intelligence to enhance investigation workflows.
- Experience conducting adversarial prompt analysis, prompt injection detection, and evaluating AI system vulnerabilities in client incidents, regulatory matters, and litigation.
- Designing and building forensic data pipelines and investigatory tooling for processing large and varied datasets, including unstructured text, media archives, model outputs, and system logs.
- Mentoring junior team members and leading cross-functional engagements involving technical analysis, legal strategy, digital forensics, and stakeholder communication under tight deadlines.
Benefits & Perks
Salary range of $140,000 - $170,000 with potential for bonus incentive compensation
Work location flexibility with at least 3 to 4 days in the office per week
Comprehensive benefits package including medical, dental, and vision insurance
401(k) retirement plan with employer match
Life and disability insurance
Paid time off including vacation, sick leave, holidays, and paid parental leave
Wellness programs and employee assistance resources
In-house immigration support for foreign nationals and international business travelers
Skills development programs with over 100 hours of annual training
Opportunities for internal seminars, career mentoring, and performance coaching
Involvement in internal firm development activities
Ready to Apply?
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