Vice President, AI Platform Engineering
Ares Management Corporation22 hours ago
Base Salary
$225k - $250k/yr
Responsibilities
- Design, build, operate, and own production-grade services and major technical components for the enterprise AI platform.
- Build AI gateways, model abstraction layers, routing, resiliency, rate limiting, failover, usage controls, and model lifecycle capabilities.
- Develop reusable APIs, SDKs, libraries, developer tooling, prompt infrastructure, agent execution capabilities, and platform services.
- Implement identity, authentication, authorization, encryption, secrets management, audit logging, governance, and access controls.
- Establish telemetry, tracing, logging, observability, testing, deployment, rollback, disaster recovery, reliability, and AI FinOps capabilities.
- Lead architecture and design through production deployment while providing technical guidance, code reviews, mentorship, and cross-functional partnership.
- Evaluate AI models, providers, frameworks, and developer tools and establish standards, documentation, reference implementations, and adoption patterns.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical discipline.
- 8+ years of professional software engineering, platform engineering, data engineering, machine learning engineering, or related experience.
- 3+ years of hands-on experience building Generative AI, machine learning, LLM, or AI platform capabilities in production.
- Strong Python engineering skills and experience writing and operating production-quality software.
- Experience with APIs, microservices, distributed systems, cloud-native applications, reusable platforms, frameworks, or services used by multiple engineering teams.
- Hands-on experience with a major cloud platform, preferably Azure, plus containers, Kubernetes, infrastructure automation, and modern DevOps practices.
- Production experience with LLM systems, including model routing, RAG, embeddings, vector search, prompt management, tool use, or agentic workflows.
- Experience with observability, testing, evaluation, telemetry, performance monitoring, security, authentication, authorization, secrets management, scalability, and reliability.
- Ability to independently lead complex engineering initiatives and collaborate across engineering, product, data, security, architecture, compliance, and business teams.
- Preferred qualifications include Databricks, Delta Lake, Unity Catalog, Model Serving, MLflow, Vector Search, Azure OpenAI, Azure AI services, enterprise LLM providers, multi-LLM gateways, LangGraph, Semantic Kernel, AutoGen, Model Context Protocol, internal developer platforms, AI governance, AI FinOps, regulated-environment identity controls, and financial-services experience.
- A master’s degree in Computer Science, Artificial Intelligence, Engineering, or a related technical discipline is preferred.
Benefits
- Base salary range is $225,000-$250,000, with potential discretionary performance-based bonus.
- Benefits include medical/Rx, dental and vision plans, 401(k) matching, FSA, HSA contributions, life insurance, disability insurance, employee assistance, and commuter benefits.
- Additional benefits include medical advisory services, mental health and wellbeing apps, financial wellness support, new parent leave, reproductive and adoption assistance, emergency backup care, matching gifts, and education sponsorship.
- Applications are accepted on an ongoing basis until the search is no longer active.
Tech Stack
Categories
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.