AI Technology & Security Engineer (AVP/VP)

Our Company

As a part of Brookfield’s $416B credit platform, Oaktree is a premier credit manager emphasizing an opportunistic, value-oriented, and risk-controlled approach to investing across credit, equity, and real estate.

Oaktree is 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.

Oaktree is wholly owned by Brookfield, a leading global investment firm with more than $1 trillion in assets under management. Brookfield owns and operates high-quality businesses and real assets that provide essential services and form the backbone of the global economy. It invests on behalf of institutions and individuals around the world across infrastructure, renewable power and transition, private equity, real estate, and credit.

For additional information, please visit Oaktree’s website at http://www.oaktreecapital.com/

Responsibilities

Oaktree is seeking a highly motivated, hands-on technologist to engineer, integrate and secure AI capabilities that enable the effective adoption of AI across the firm.  Reporting to the SVP of Technology, this role sits within the Security and Architecture organization, serves as a core member of the firm’s AI Enablement team, and partners closely with the Head of Global Engineering and Product Engineering, who own Oaktree’s AI Program. This is a hands-on engineering and security role, focused on the AI tooling, integration, and security that make firm-wide AI adoption possible.

AI Technology & Adoption

• Serve as the firm’s technical point of contact for enterprise AI tooling - including Claude, Gemini, ChatGPT, Codex, Cowork, and Azure AI Foundry, driving secure and effective adoption across the business.
• Diagnose and resolve technical issues that block AI adoption, from authentication and connectivity to model access, performance, and integration.
• Evaluate emerging AI capabilities, tools, and vendors, and translate them into practical, supportable options for Oaktree teams.
• As part of the AI Enablement team, onboard new AI capabilities, connectors, and features into the enterprise environment.

AI Security & Governance

• Serve as the primary security owner for enterprise AI usage, defining and enforcing guardrails for data protection, access, and responsible use.
• Design and implement controls for AI data flows, including DLP, sensitivity-label enforcement, prompt and output logging, and monitoring for misuse or data leakage.
• Manage identity, access, and authorization for AI platforms, gateways, and connectors in line with Zero Trust and least-privilege principles.
• Identify and mitigate AI-specific risks — including shadow AI, model and gateway exposure, data residency, and third-party AI vendor risk.

AI Engineering & Integration

• Support the technical plumbing that connects AI to enterprise systems including MCP servers, API integrations, AI gateways, and connectors.
• Own the connector and feature implementation strategy — how new AI integrations are prioritized, built, standardized, and rolled out across the enterprise — in partnership with the AI Program’s product owner.
• Integrate AI tooling with Oaktree’s enterprise architecture, integration platforms, and identity systems.
• Develop reusable patterns, reference integrations, and automation that let teams adopt AI safely and consistently.
• Ensure AI integrations meet enterprise standards for security, reliability, observability, and supportability.

Citizen Developer & Solutions Enablement

• Partner with citizen developers and business teams across Oaktree to turn ideas into working, governed AI solutions.
• Provide guardrails, templates, and technical guidance so business-led AI solutions are secure and maintainable by design.
• Review and support business-built AI workflows and integrations, escalating or hardening them where risk warrants.

Collaboration & Program Partnership

• Work closely with the Head of Global Engineering and Product Engineering to support and extend the AI Program’s product, training, and roadmap ownership.
• Partner with the AI Program’s product owner on tooling, features, and connectors, providing the security and engineering foundation for the program’s initiatives.
• Contribute security and technical subject-matter expertise to AI enablement and training efforts owned by the AI Program, in a supporting capacity.

Operational Support & Documentation

• Act as the escalation point for complex AI tooling, integration, access, and security issues.
• Maintain documentation for AI architecture, security standards, integration patterns, connectors, and support procedures.
• Participate in incident response, change management, and risk assessments involving AI systems and data.

Qualifications

Required Qualifications for AVP

• 6+ years of hands-on technology experience, including recent practical experience implementing or supporting modern AI tools in an enterprise environment.  Candidates should have working knowledge of MCP (Model Context Protocol). AI gateways, API’s, connectors and authentication patterns, with the ability to integrate and secure these technologies.
• Demonstrated experience securing AI, cloud, or SaaS platforms, including identity and access management, data protection/DLP, and governance of third-party services.
• Experience integrating enterprise systems via APIs and integration platforms, with a solid grasp of enterprise architecture and identity concepts. Hands-on experience with enterprise AI platforms such as Claude, Google Gemini, ChatGPT/OpenAI, Codex, and Microsoft / Azure AI Foundry.
• Ability to write clear technical documentation and communicate effectively with technical and non-technical stakeholders, including business teams and citizen developers.

Required Qualifications for VP

• 8+ years of hands-on technology experience, including recent, substantive experience designing, implementing, and secure moder AI tools in an enterprise environment.  Candidates should have strong working knowledge of MCP (Model Context Protocol), AI gateways, API’s connectors, and authentication patterns with the ability to independently lead complex integrations and establish secure scalable implementation patterns.           .
• Demonstrated experience securing AI, cloud, or SaaS platforms, including identity and access management, data protection/DLP, and governance of third-party services.
• Experience integrating enterprise systems via APIs and integration platforms, with a solid grasp of enterprise architecture and identity concepts. Hands-on experience with enterprise AI platforms such as Claude, Google Gemini, ChatGPT/OpenAI, Codex, and Microsoft / Azure AI Foundry.
• Ability to write clear technical documentation and communicate effectively with technical and non-technical stakeholders, including business teams and citizen developers.

Preferred Qualifications

• Experience deploying or securing AI gateways, LLM proxies, or API management for AI workloads.
• Security or cloud certifications such as Azure Security Engineer, Azure AI Engineer, or related security and identity credentials.
• Familiarity with Zero Trust, Conditional Access, and least-privilege access models.
• Experience enabling citizen-developer or low-code / no-code platforms with appropriate guardrails.
• Awareness of AI risk and responsible-AI frameworks, such as the NIST AI Risk Management Framework.

Personal Attributes

• Strong engineering and security mindset, with the ability to design for scale, reliability, and safety in a fast-moving AI landscape.
• Collaborative and team-oriented, able to complement and strengthen partner leaders and programs across the firm.
• Comfortable operating amid ambiguity and rapid change as AI capabilities and tooling evolve.
• Security-first mindset balanced with a practical understanding of user experience and business enablement.
• Ability to work independently while collaborating across multiple technical and business teams.
• Strong documentation discipline and process orientation.

Education

Bachelor's degree in computer engineering, Computer Science, Electrical Engineering or equivalent is required.

Base Salary for AVP

$150,000 - $190,000

Base Salary for VP

$200,000 - $225,000

Equal Opportunity Employment Policy

Oaktree is committed to diversity and to equal opportunity employment. Oaktree does not make employment decisions on the basis of race, creed, color, ethnicity, national origin, citizenship, religion, sex, sexual orientation, gender identity, gender expression, age, past or present physical or mental disability, HIV status, medical condition as defined by state law (genetic characteristics or cancer), pregnancy, childbirth and related medical conditions, veteran status, military service, marital status, familial status, genetic information, domestic violence victim status or any other classification protected by applicable federal, state and local laws and ordinances. This policy applies to hiring, placement, internal promotions, training, opportunities for advancement, recruitment advertising, transfers, demotions, layoffs, terminations, recruitment advertising, rates of pay and other forms of compensation and all other terms, conditions and privileges of employment. This policy applies to all Oaktree applicants, employees, clients, and contractors. Staff members wishing to report violations or suspected violations of this policy should contact the head of their department or Human Resources.

For positions based in Los Angeles

For those applying for a position in the city of Los Angeles, the firm will consider for employment qualified applicants with a criminal history in a manner consistent with applicable federal, state and local law.