Senior Vice President, Head of AI

Our Company

Oaktree is a leader among global investment managers specializing in alternative investments, with about $200 billion in assets under management. The firm emphasizes an opportunistic, value-oriented and risk-controlled approach to investments in credit, private equity, real assets and listed equities.  The firm has over 1200 employees and offices in 24 cities worldwide.

We are committed to cultivating an environment that is collaborative, curious, inclusive and honors diversity of thought. Providing training and career development opportunities and emphasizing strong support for our local communities through philanthropic initiatives are essential to our culture.

For additional information please visit our website at www.oaktreecapital.com.

Summary

Oaktree is seeking a Head of AI Product Engineering to lead the development and integration of cutting-edge Generative AI technologies within our growing product engineering team. In this leadership role, you will define and execute the strategic roadmap for AI innovation, enhancing Oaktree’s software landscape and transforming the way we leverage technology across the organization. You will build a team responsible for envisioning, prototyping, and deploying high-impact AI-powered solutions that elevate user experience and operational efficiency.

Responsibilities include:

• Build and lead a high performing team responsible for the end-to-end AI engineering pipeline — from data preprocessing and modeling to API integration and production deployment. 

• Architect scalable infrastructure to support rapid experimentation and delivery of production-ready AI systems. 

• Lead the application of advanced techniques such as foundation models, retrieval-augmented generation (RAG), and agentic systems. 

• Drive cross-functional alignment on AI strategies that support company objectives and raise the bar on our machine learning capabilities and technical stack. 

• Balance deep technical exploration with clear product goals, collaborating with engineers, designers, and product managers to prioritize and define impactful solutions. 

• Champion a culture of experimentation, ownership, and continuous learning; mentor team members across AI and adjacent domains. 

• Stay current on trends in Generative AI and proactively identify opportunities to apply these innovations to real-world challenges at Oaktree. 

• Promote best practices in scalability, reliability, operational excellence, and cost efficiency across AI systems. 

Qualifications

• 10+ years of experience in software and/or AI engineering, including 5+ years focused on machine learning and AI systems. 

• 2+ years of experience in technical leadership or as the go-to AI/ML expert within a technical organization. 

• Experience in building, leading, and providing direction / guidance to a team that focuses on Generative AI and machine learning technologies 

• Proven track record of building and deploying Generative AI systems that deliver measurable business value. 

• Strong command of modern ML/DL techniques, including model development, fine-tuning, evaluation, and productionization. 

• Expertise in Python and frameworks such as PyTorch, TensorFlow, HuggingFace, LangChain, Glean, and related tools. 

• Experience with large language models (e.g., GPT-4, Claude, Mistral) and model fine-tuning / building RAG pipelines. 

• Experience building Agentic AI platforms using technologies such as N8N, LangFlow, LangGraph.  

• Ability to operate in ambiguity and lead complex initiatives from concept through delivery in fast-paced environments. 

• Strong product sense with experience gathering user requirements, defining roadmaps, and prioritizing trade-offs. 

• Familiarity with Agile methodologies and tools like Confluence and JIRA. 

• Interest in fostering strong team culture and “vibe engineering.” 

Nice to have:

• Advanced degree (MS/PhD) in Machine Learning or a related discipline. 

• Contributions to peer-reviewed AI research or publications. 

• Experience in financial services, particularly credit markets; CFA or CAIA a plus. 

• Solid foundation in software engineering best practice