Location: Philadelphia, PA, United States
Date Posted: May 30, 2023
Alvarez & Marsal Private Equity Performance Improvement
Director, Generative AI Solutions Architect
Alvarez & Marsal is a leading independent global professional services firm, specializing in providing turnaround management, performance improvement and corporate advisory services, is seeking to expand its Private Equity Performance Improvement (PEPI) – Generative AI team. With more than 7,000 professionals based in 40 locations across North America, Europe, Asia, and Latin America, our firm excels in problem solving and value creation. Drawing on a strong operational heritage and hands-on-approach, our professionals work closely with organizations and stakeholders to help tackle complex business issues and maximize value.
A&M’s Private Equity Performance Improvement Services (PEPI) practice, with offices throughout the US, focuses on serving upper middle market and large cap private equity firms who have engaged A&M to help improve operating results at their portfolio companies. The companies we serve are upper middle market in the $50 million to $1 billion plus range.
Our PEPI services include:
Private Equity Focused Professionals
We're developing a cutting-edge Generative AI tool designed to streamline analysis and research by automating portions of data analysis, identifying opportunities, and facilitating interactive data search. Our platform aims to enhance private equity decision-making through advanced AI techniques, transforming complex use case scenarios into streamlined, insightful processes.
As advisors to private equity funds, we bring a structured and disciplined approach to create and capture value. We provide private equity buyers with a broad continuum of knowledge and tools for due diligence (IT and operational), merger integration / carve-out planning and execution, transition service agreement negotiation & governance, ERP implementations, IT operations & cost reduction, and enterprise architecture. We support full spectrum of the deal lifecycle from pre-deal technology, operational and synergy reviews, through 'Day-1' planning, to post-deal implementations.
By joining our Generative AI team, you will have the opportunity to be at the forefront of Generative AI technology and its application in the private equity industry, working closely with leaders in the field to shape the future of consulting.
We are seeking an experienced Generative AI Solutions Architect with a background in AI technologies and machine learning to lead the development of our innovative Generative AI platform aimed at supporting analysis and research in the private equity space. This role will collaborate closely with our team to define specific needs and goals for the tool, establish use cases, refine the pattern recognition framework, co-develop datasets, customize for optimal performance, and maintain ongoing collaboration throughout the development process.
Contribute expertise to train, refine and enhance the pattern recognition capabilities of the Generative AI tool, improving its accuracy and relevance. Work with consulting staff to outline various use cases for the Generative AI tool, shaping its training, fine-tuning, development and functionality to support a broad range of investor diligence scenarios. Co-develop and maintain a comprehensive dataset of issues, findings, and recommendations from past projects to inform the Generative AI tool's decision-making capabilities and implement training. Customize the AI tool for optimal performance, tailoring its features and capabilities to our unique context and requirements. Collaborate closely with the team to identify and define the specific requirements for our Generative AI tool, ensuring it aligns with our strategic objectives and the needs of our private equity clients.
4+ years of professional experience in AI, Machine Learning or a related field, with a minimum of two years specializing in AI solutions development, implementation, and customization. Expertise in AI model training and fine-tuning Proven track record of collaborating effectively with C-suite executives Excellent fact-gathering and analytical skills, including business process mapping and quantitative analysis. Previous experience in strategy and change management, ideally gained in a top-tier strategy firm, leading specialist, niche advisory firm, or Big-4 consultancy. Bachelor’s degree in Computer Science, AI, Data Science, or a related field. Advanced degree preferred. Flexibility to travel at least 50% of the time.
A&M’s entrepreneurial culture celebrates independent thinkers and doers who can positively impact our clients and shape our industry. The collaborative environment and engaging work—guided by A&M’s core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity—are the main reasons our people love working at A&M. Inclusive Diversity means we embrace diversity, and we foster inclusiveness, encouraging everyone to bring their whole self to work each day. It runs through how we recruit, develop employees, conduct business, support clients, and partner with vendors. It is the A&M way.
It is Alvarez & Marsal’s practice to provide and promote equal opportunity in employment, compensation, and other terms and conditions of employment without discrimination because of race, color, sex, sexual orientation, gender identity, family medical history or genetic information, political affiliation, military service, pregnancy, marital status, family status, religion, national origin, age or disability or any other non-merit based factor or any other characteristics in accordance with all applicable laws and regulations.
Please note that as per A&M policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our Inclusive Diversity values. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that A&M will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.