WHO WE ARE

FTI Consulting is the leading global expert firm for organizations facing crisis and transformation. We work with many of the world’s top multinational corporations, law firms, banks and private equity firms on their most important issues to deliver impact that makes a difference. From resolving disputes, navigating crises, managing risk and optimizing performance, our teams respond rapidly to dynamic and complex situations.
At FTI Consulting, you’ll work side-by side with leaders who have shaped history, helping solve the biggest challenges making headlines today. From day one, you’ll be an integral part of a focused team where you can make a real impact. You’ll be surrounded by an open, collaborative culture that embraces diversity, recognition, professional development and, most importantly, you.
Are you ready to make your impact?

BASIC QUALIFICATIONS

• Bachelor’s degree in engineering, computer science, information systems or related field
• 6+ years of post-graduate experience
• At least one of the following: GCP Professional Machine Learning Engineer, AWS Certified Machine Learning Engineer
• Ability to travel to clients and to FTI offices as needed

PREFERRED QUALIFICATIONS

• 4+ years of direct experience with production deployments of AI solutions, including machine learning solution design, pipeline development, support, and management
• Experience in a consultant environment to architect large scale enterprise AI platforms
• Certified Machine Learning – Specialty, Microsoft Certified: Azure AI Fundamentals
• Deep working knowledge of MLOps processes, ML frameworks and programming tools
• Generative AI technical architecture including LLMs, diffusion models, orchestration frameworks such as LangChain, Vector databases such as Pinecone & Chroma, training techniques such as RAG and RLHF
• Experience with all-in-one solutions such as Dataiku, DataRobot or similar products
• Experience building and deploying solutions in IaaS and PaaS environments
• Understanding of industry standard system architecture and system management concepts and tools
  

  LI-EB2

ABOUT THE ROLE

Our Digital Transformation Practice helps corporates, private equity firms and other constituencies build long term competitive advantage, accelerate revenue growth and drive investment valuations while optimizing cost. We bring together lean, fast-moving teams of expert technologists, digital specialists and data scientists to advise our clients on their digital transformation agendas and transaction needs.
We work with clients to understand the impact of rapidly evolving digital paradigms and emerging technologies on the future of their business, translating that into an executable strategy and blueprint that combines business model innovation, customer experience strategy, modern technology and data architectures with a rigorous focus on planning and execution. We assist clients on their high stakes transactions needs ranging from acquisition and divestment strategy to technology and digital due diligence, merger and acquisition (M&A) integration planning and carve outs.

WHAT YOU’LL DO

The Senior Solutions Architect – AI and ML Operations + Engineering will be a leader in the AI Transformation offering of FTI’s Digital Transformation practice. This role will advise businesses on designing AI based solutions, platforms and architectures that enable enterprise use cases for creating business value. The candidate should have subject matter expertise in designing and implementing machine learning pipelines including a deep understanding of core ML frameworks such as PyTorch, TensorFlow or Scikit-learn and 3rd party ML platforms from Palantir, Dataiku, DataRobot, Alteryx and other vendors. In addition, the candidate should have a strong understanding and experience with the integrated machine learning environments provided in Azure, AWS and GCP, along with emerging experience with Generative AI ML technical architectures that include pre-trained LLM and diffusion models such as LLaMA, ChatGPT, Gemini, Stability AI and Claude as well as Vector Databases and orchestration tools such as LangChain. They must be comfortable engaging with non-technical ends users to understand objectives and leverage (the candidates) understanding of available machine learning designs to blueprint solutions and oversee technical implementations, done by others.
In addition, the candidate will be responsible for providing advice and recommendations to our clients on the strategic application of pre-trained artificial intelligence capabilities and suitable use cases for custom tailored solutions for a variety of problems and in a variety of industries. They must have knowledge and experience with “black box” AI capabilities for traditional tasks such as image and video recognition, speech to text, language translation and chatbots, along with a deep understanding of the intellectual property and data privacy issues inherent in using pre-trained generative AI platforms.