Audax Group
Private Debt AI Solutions Architect (GenAI Advisory & Engineering)
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Founded in 1999, Audax Group is a leading alternative investment manager with offices in Boston, New York, San Francisco, London, and Hong Kong. With approximately $42 billion of assets under management and more than 475 employees, Audax is a leading capital partner for middle‑market companies, operating through three business lines: Audax Private Equity, Audax Private Debt, and Audax Strategic Capital.
Position Summary The AI Solutions Architect is a critical new role focused on driving Generative AI (GenAI) adoption, advisory, and innovation across our Private Debt strategy. This position blends strategic AI enablement and hands‑on technical development, ensuring that GenAI solutions align with business objectives while also being practical and scalable.
Key Responsibilities
AI Advisory & Enablement - Act as a trusted AI advisor, helping deal teams and strategic resource employees understand and leverage AI and GenAI for investment decisions, operational improvements, and firm‑wide efficiencies. - Evangelize AI adoption, leading workshops, demos, and hands‑on training sessions on AI tools like ChatGPT, custom GPTs, and enterprise‑grade models. - Develop AI playbooks and best practices to guide the firm’s AI strategy and ensure responsible AI use.
Solutions Engineering & Development - Collaborate with engineering and data teams to design, develop, and deploy AI models, pipelines, and automation workflows that optimize internal processes and investment analysis. - Work hands‑on with AI infrastructure, ensuring that AI applications are scalable, secure, and well‑integrated with existing data systems. - Stay at the forefront of AI advancements, advising on emerging trends in GenAI, LLMs, and AI copilots to inform the firm’s strategy.
Sales & Relationship Management - Act as a bridge between business and technical teams, effectively communicating the value of AI to both executive decision‑makers and technical contributors. - Influence AI adoption across the firm, identifying opportunities for AI‑driven transformation and helping teams navigate the change management process. - Partner with vendors and external partners, evaluating third‑party AI solutions and integrations that align with business needs. - Develop technical champions within teams, ensuring AI adoption is sustained and expanded across the organization.
Who You Are
Blend of strategic and technical expertise—you can both architect AI solutions and communicate their value to business leaders.
Experienced in AI/ML, NLP, and AI infrastructure, with hands‑on experience in developing and deploying LLMs and AI‑driven applications.
Strong client‑facing and advisory skills, with experience in sales engineering, consulting, or AI product evangelism.
Comfortable working in a fast‑paced, high‑stakes environment, with the ability to balance strategic vision and hands‑on execution.
Familiarity with private debt structures, including senior debt, direct lending solutions, mezzanine financing, and collateralized loan obligations (CLOs).
General Qualifications
Bachelor’s or master’s degree in computer science, AI, Machine Learning, or a related field.
7+ years of experience in AI/ML development, model deployment, or AI‑powered product engineering.
Strong understanding of NLP, LLMs, and generative AI applications.
Proven ability to translate AI capabilities into business value, driving AI adoption across diverse stakeholders.
Experience in solution architecture, AI product evangelism, or technical sales is a plus.
Strong problem‑solving and cross‑functional collaboration skills, working with engineers, data teams, and business leaders.
Technology Qualifications
Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, or similar.
Experience working with LangChain, AutoGen, OpenAI Function Calling, and vector databases (e.g., Pinecone, Weaviate, FAISS) to build AI agents that interact with APIs, databases, and user queries. Hands‑on experience with AI model fine‑tuning, prompt engineering, and deploying LLM‑powered applications.
Experience with enterprise AI integration, working with tools like Snowflake, Databricks, or other data platforms to power AI‑driven insights.
Hands‑on experience with AI model fine‑tuning, prompt engineering, and deploying LLM‑powered applications.
Familiarity with MLOps and AI deployment best practices, including model monitoring, retraining strategies, and integrating AI models into production systems.
Base Salary: $140,000 – $165,000 (New York City only). Benefits include health insurance, life insurance, disability insurance, paid time off (including sick leave, parental leave, volunteer leave, and vacation), charitable donation match, family support services (including Bright Horizons and Benefit Advocate Center), and a 401(k) in addition to other benefits.
Audax Management Co. is an equal opportunity employer.
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Founded in 1999, Audax Group is a leading alternative investment manager with offices in Boston, New York, San Francisco, London, and Hong Kong. With approximately $42 billion of assets under management and more than 475 employees, Audax is a leading capital partner for middle‑market companies, operating through three business lines: Audax Private Equity, Audax Private Debt, and Audax Strategic Capital.
Position Summary The AI Solutions Architect is a critical new role focused on driving Generative AI (GenAI) adoption, advisory, and innovation across our Private Debt strategy. This position blends strategic AI enablement and hands‑on technical development, ensuring that GenAI solutions align with business objectives while also being practical and scalable.
Key Responsibilities
AI Advisory & Enablement - Act as a trusted AI advisor, helping deal teams and strategic resource employees understand and leverage AI and GenAI for investment decisions, operational improvements, and firm‑wide efficiencies. - Evangelize AI adoption, leading workshops, demos, and hands‑on training sessions on AI tools like ChatGPT, custom GPTs, and enterprise‑grade models. - Develop AI playbooks and best practices to guide the firm’s AI strategy and ensure responsible AI use.
Solutions Engineering & Development - Collaborate with engineering and data teams to design, develop, and deploy AI models, pipelines, and automation workflows that optimize internal processes and investment analysis. - Work hands‑on with AI infrastructure, ensuring that AI applications are scalable, secure, and well‑integrated with existing data systems. - Stay at the forefront of AI advancements, advising on emerging trends in GenAI, LLMs, and AI copilots to inform the firm’s strategy.
Sales & Relationship Management - Act as a bridge between business and technical teams, effectively communicating the value of AI to both executive decision‑makers and technical contributors. - Influence AI adoption across the firm, identifying opportunities for AI‑driven transformation and helping teams navigate the change management process. - Partner with vendors and external partners, evaluating third‑party AI solutions and integrations that align with business needs. - Develop technical champions within teams, ensuring AI adoption is sustained and expanded across the organization.
Who You Are
Blend of strategic and technical expertise—you can both architect AI solutions and communicate their value to business leaders.
Experienced in AI/ML, NLP, and AI infrastructure, with hands‑on experience in developing and deploying LLMs and AI‑driven applications.
Strong client‑facing and advisory skills, with experience in sales engineering, consulting, or AI product evangelism.
Comfortable working in a fast‑paced, high‑stakes environment, with the ability to balance strategic vision and hands‑on execution.
Familiarity with private debt structures, including senior debt, direct lending solutions, mezzanine financing, and collateralized loan obligations (CLOs).
General Qualifications
Bachelor’s or master’s degree in computer science, AI, Machine Learning, or a related field.
7+ years of experience in AI/ML development, model deployment, or AI‑powered product engineering.
Strong understanding of NLP, LLMs, and generative AI applications.
Proven ability to translate AI capabilities into business value, driving AI adoption across diverse stakeholders.
Experience in solution architecture, AI product evangelism, or technical sales is a plus.
Strong problem‑solving and cross‑functional collaboration skills, working with engineers, data teams, and business leaders.
Technology Qualifications
Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, or similar.
Experience working with LangChain, AutoGen, OpenAI Function Calling, and vector databases (e.g., Pinecone, Weaviate, FAISS) to build AI agents that interact with APIs, databases, and user queries. Hands‑on experience with AI model fine‑tuning, prompt engineering, and deploying LLM‑powered applications.
Experience with enterprise AI integration, working with tools like Snowflake, Databricks, or other data platforms to power AI‑driven insights.
Hands‑on experience with AI model fine‑tuning, prompt engineering, and deploying LLM‑powered applications.
Familiarity with MLOps and AI deployment best practices, including model monitoring, retraining strategies, and integrating AI models into production systems.
Base Salary: $140,000 – $165,000 (New York City only). Benefits include health insurance, life insurance, disability insurance, paid time off (including sick leave, parental leave, volunteer leave, and vacation), charitable donation match, family support services (including Bright Horizons and Benefit Advocate Center), and a 401(k) in addition to other benefits.
Audax Management Co. is an equal opportunity employer.
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