Lead Generative AI Engineer

The AI Engineer, a member of the AI Engineering team, is responsible for developing and implementing cutting-edge legal AI solutions that drive efficiency, improve decision making, and provide valuable insights across various administrative business groups and legal practices. This role will leverage expertise in AI engineering, natural language processing, and machine learning to design, develop, and deploy innovative solutions that capitalize on both structured and unstructured data.

Prototype and test AI solutions using Python and Streamlit with a focus on natural language processing and text extraction from documents (PyPDF, Azure Document Intelligence)
• Develop plugins and assistants using LangChain, LlamaIndex, or Semantic Kernel, with expertise in prompt engineering and semantic function design
• Design and implement Retrieval Augmented Generation (RAG) stores using a combination of classic information retrieval and semantic embeddings stored in vector and graph databases
• Develop and deploy agents using AutoGen, CrewAI, LangChain Agents, and LlamaIndex Agents
• Use Gen AI to distill metadata and insights from documents
• Fine tune LLMs to optimize for domain and cost
• Collaborate with stakeholders to implement and automate AI powered solutions for common business workflows
• Enhance documentation procedures, codebase, and adherence to best practices to promote and facilitate knowledge sharing and ensure the upkeep of an organized and reproducible working environment

Salaries vary by location and are based on numerous factors, including, but not limited to, the relevant market, skills, experience, and education of the selected candidate. If an estimated salary range for this role is available, it will be provided in our Target Salary Range section. Our compensation package also includes bonus eligibility and a comprehensive benefits program. Benefits information can be found here.

To perform this job successfully, an individual must be able to perform the Duties and Responsibilities (Duties) above satisfactorily and meet the requirements below. The requirements listed below are representative of the minimum knowledge, skill, and/or ability required. Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions of the job. If you need such an accommodation, please email staffrecruiting@sidley.com (current employees should contact Human Resources).

Education and/or Experience:

Required:

• Bachelor's Degree in Computer Science, Engineering, or related field
• A minimum of 5 years of experience in AI engineering or a related field

Preferred:

• Master's Degree in Computer Science, Engineering, or related field
• Proven experience with AI engineering tools and technologies, including Python, Streamlit, Jupyter Notebooks, Langchain, LlamaIndex, and Semantic Kernel
• Experience with natural language processing, text extraction, and information retrieval techniques
• Strong understanding of machine learning and deep learning concepts including transformer based GPT models
• Experience with distributed computing and cloud environments (e.g., Microsoft Azure)
• Strong organizational, communication, and problem-solving skills, with the ability to work harmoniously and effectively with others
• Ability to preserve confidentiality and exercise discretion, with strong attention to detail and good judgment

Other Skills and Abilities:

The following will also be required of the successful candidate:

• Strong organizational skills
• Strong attention to detail
• Good judgment
• Strong interpersonal communication skills
• Strong analytical and problem-solving skills
• Able to work harmoniously and effectively with others
• Able to preserve confidentiality and exercise discretion
• Able to work under pressure
• Able to manage multiple projects with competing deadlines and priorities

Sidley Austin LLP is an Equal Opportunity Employer