Senior Associate - AI Automation Engineer

AI Automation Engineer
Role Overview
As part of the Enterprise Automation function, we are building the next generation of scalable business automation — combining RPA and Agentic AI.
We are seeking a AI Automation Engineer to architect and implement production-grade AI automation infrastructure on Azure. This role is not about training or fine-tuning models. It is about orchestrating, deploying, governing, and operationalizing LLM-powered systems that integrate seamlessly with enterprise workflows.
You will define how Agentic AI capabilities are built, evaluated, secured, and scaled across the organization.
What You Will Do
🏗 Architect & Build AI Automation Solutions
Design and implement AI-driven automation workflows leveraging large language models available through Azure AI Foundry and Azure ML model catalog
Build agent-based systems using modern orchestration frameworks (e.g., LangChain, LangGraph, Semantic Kernel, AutoGen, or similar)
Implement tool-using agents, RAG pipelines, and structured function-calling patterns
Design robust integration layers for enterprise systems (APIs, databases, workflow platforms)
Establish reusable architectural patterns for AI-powered automation
🚀 Productionize LLM Systems
Deploy and manage production LLM-powered applications on Azure
Implement CI/CD practices for AI services
Containerize services using Docker (Kubernetes preferred but not required)
Ensure appropriate logging, monitoring, and operational reliability
📊 Evaluation & Reliability
Implement practical evaluation and testing approaches to ensure quality and consistency of AI outputs
Monitor performance and iterate based on real-world usage
🤝 Cross-Functional Collaboration
Partner with RPA engineers to embed intelligent decision layers into automation processes
Collaborate with AI/Data Science teams to integrate existing models
Work with IT and Security teams to align with enterprise standards
Required Qualifications
10+ years of experience in software engineering, ML engineering, or MLOps roles
Proven experience deploying LLM-powered applications into production environments
Strong Python backend engineering experience (building and deploying API-based services)
Hands-on experience integrating large language models via APIs or hosted endpoints
Practical experience using agent orchestration frameworks (e.g., LangChain, LangGraph, Semantic Kernel, AutoGen, or similar)
Experience designing and integrating RESTful APIs and enterprise system connectors
Familiarity with CI/CD workflows and version control best practices
Experience deploying containerized applications using Docker
Experience working within Azure-based environments
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.

Work arrangement
Hybrid