Join the World's Top Legal Talent Network

Who We Are
FTI Consulting is the world’s leading expert-driven consulting firm. Over the last 40 years, FTI Consulting experts have served as the trusted advisor to Fortune 500 companies and the world’s leading law and private equity firms when they are facing their greatest opportunities and challenges. Our strong performance and continued success are a direct reflection of the ambition, energy, and commitment of our talented professionals across the globe to make a positive impact for our clients and communities.
At FTI Consulting, you’ll be inspired and empowered to make an impact on headline matters that change history. Working side by side with the world’s leading experts in your field, you’ll be surrounded by an open collaborative culture that embraces diversity, recognition, professional development and most importantly, you.
There’s never been a more exciting time to join FTI Consulting and this is where you will do the most exciting and fulfilling work of your career.
Are you ready to make an impact?

About the Role
The eDiscovery Innovation Team at FTI Consulting is expanding rapidly as we make key investments in applying Generative AI and Machine Learning to some of the world’s biggest disputes, investigations, and litigations.
Applied Scientists should have a pragmatic approach to problem-solving and be capable of developing end-to-end solutions that clients can rely on in production. They should be capable of challenging their own work and finding a balance between perfection and practicality.

What You’ll Do
- Prototype, validate, and implement AI/ML solutions on diverse and constantly evolving client datasets
- Apply the latest LLMs in Azure OpenAI and AWS Bedrock to tasks like: - summarization
- classification
- entity extraction
- text-to-query language generation

- Develop RAG pipelines, semantic search, and hybrid search
- Create and implement new metrics, evaluation pipelines, and internal training/test datasets
- Survey, test, and critique use of emerging technologies to enhance existing solutions and develop new capabilities.
- Share your work with clients and colleagues and to both technical and non-technical audiences. You will help lead the way in the adoption of AI across the enterprise.
- Build industry expertise and become a contributor in deploying our solutions into client architectures.

How You’ll Grow
We are committed to investing and supporting you in your professional development and we have developed a range of programs focused on fostering leadership, growth and development opportunities. We aim to promote continuous learning and individual skills development through on-the-job learning, self-guided professional development courses and certifications. You’ll be assigned a dedicated coach to mentor, guide and support you through regular coaching sessions and serve as an advocate for your professional growth.
As you progress through your career at FTI Consulting, we offer tailored programs for critical professional milestones to ensure you are prepared and empowered to take on your next role.

What You’ll Need to Succeed
Basic Qualifications
- Bachelors degree or relevant experience
- 2+ years of practical, relevant experience building NLP/IR/ML systems, from ideation to production
- Ability to travel to clients and FTI office(s) as needed
- Applicants must be currently authorized to work in the United States on a full-time basis; this position does not provide visa sponsorship
Preferred Qualifications
- High level of analytical programming competency (e.g., Python, R)
- Hands-on development experiment with LLMs, deep learning NLP models and traditional ML techniques
- Solid software engineering skills for prototyping
- Experience with working in cloud architectures (AWS, Azure, etc. )
- Experience in a customer-facing role
- Experience with Elasticsearch, OpenSearch, or other Lucene technologies
- Experience with C# and .NET
- Experience with Docker and an understanding of Kubernetes
- Broader knowledge of large dataset processing pipelines and distributed computing architectures (Apache Beam/Airflow, Spark/Hadoop architectures)
- Experience deploying and maintaining AI based systems and knowledge of modern DevOps / MLOps tools and standards
- Demonstrated ability to translate cutting edge research into working prototypes and experience experimenting with novel NLP/IR/ML models to solve real-world problems
- Academic and/or experience in fields related to machine learning, deep learning and/or data science