Senior Associate, AI Engineering
Ares Management Corporation23 hours ago
Base Salary
$150k - $170k/yr
Responsibilities
- Design, develop, test, deploy, and operate production-grade AI services and applications.
- Build RAG capabilities using embeddings, semantic search, hybrid retrieval, vector databases, document processing, and structured data retrieval.
- Develop agentic and multi-step workflows with model reasoning, tools, enterprise data, application services, prompt templates, structured outputs, and orchestration components.
- Create APIs, SDKs, services, libraries, reusable tooling, and reference implementations for the enterprise AI platform.
- Contribute to AI gateway capabilities for model access, routing, resiliency, usage tracking, cost management, prompt management, and model lifecycle support.
- Integrate AI services with enterprise data products, applications, APIs, internal systems, and governed data sources.
- Build CI/CD pipelines, automated tests, monitoring, telemetry, logging, tracing, rollback processes, and production-support capabilities.
- Implement secure access, authentication, authorization, secrets management, encryption, entitlements, and AI governance requirements.
- Partner with AI engineers, data engineers, product managers, application developers, cybersecurity teams, and business stakeholders to deliver AI use cases.
- Document reusable patterns and help other engineering teams adopt shared AI capabilities.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Data Science, or a related technical discipline.
- At least 4 years of professional software engineering, data engineering, machine learning engineering, or related experience.
- Hands-on experience developing machine learning, Generative AI, LLM, or data-intensive applications.
- Strong Python development skills and experience writing production-quality software.
- Experience designing or consuming APIs, services, and cloud-based applications, preferably on Azure.
- Practical experience with Generative AI techniques such as RAG, embeddings, vector search, prompt engineering, structured generation, tool use, or agentic workflows.
- Familiarity with Git, automated testing, CI/CD, containers, and production monitoring.
- Strong debugging, problem-solving, ownership, communication, and collaboration skills.
- Preferred experience includes Databricks, Delta Lake, Unity Catalog, Model Serving, MLflow, Vector Search, Azure OpenAI, Azure AI services, OpenAI, Anthropic, LangGraph, LangChain, LlamaIndex, Semantic Kernel, AutoGen, model evaluation, LLM observability, governed enterprise data, and regulated or financial-services environments.
Benefits
- Comprehensive medical/Rx, dental, and vision plans.
- 401(k) program with company match, FSA, and HSA with company contribution.
- Basic and voluntary life insurance, short- and long-term disability insurance, employee assistance program, and commuter benefits for parking and transit.
- Access to medical advisory, mental health, mindfulness and wellbeing, and financial wellness programs.
- New parent leave, reproductive and adoption assistance, emergency backup care, matching gift program, education sponsorship program, and additional benefits.
- Applications are accepted on an ongoing basis until the search is no longer active.
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About Ares Management Corporation
Ares Management Corporation is a global alternative investment manager that raises and manages funds across credit, private equity, real estate, and infrastructure for institutional and individual investors. It earns management and performance fees by investing and providing direct lending and other financing solutions to businesses and assets worldwide. Founded in 1997 and headquartered in Los Angeles, Ares is a publicly traded company on the NYSE (ticker: ARES) with operations across multiple continents.