Lead AI Platform Engineer — LLMs, Agents & RAG

Equinix; Redwood City (CA); On-site; USD 142,000 - 212,000; Full time

Benefits offered by this job

Employee Assistance Program

US Benefits: health, life, disability,

retirement

Job summary

Equinix in Redwood City is seeking an experienced engineering professional to lead the development and delivery of next‑generation AI‑powered platforms and agentic solutions. You will drive LLM‑powered agents, integrate AI into platforms, and establish governance and quality frameworks across product, architecture, security, and engineering teams.

You will design and implement automated evaluation, release criteria, and cost optimization, while advancing MCP, A2A, and tool orchestration.

Qualifications

• Bachelor’s degree in computer science, Software Engineering, or Data Science.
• Master’s degree or PhD is highly desirable.
• 6+ years of experience in the full software development life cycle.
• 5+ years of programming with Python or Java.
• 3+ years of experience in ML models or AI applications.
• Experience with prompt engineering, tool calling, and multi-agent workflows.
• Experience with APIs, microservices, distributed systems, and modern cloud platforms.
• Experience with MCP, A2A, and tool orchestration frameworks.
• Experience with AI platforms like Anthropic, OpenAI, Azure OpenAI, Bedrock, Vertex AI.
• Strong communication and ability to work in fast-paced environments.

Responsibilities

• Design, build, deploy, and maintain LLM-powered agents and AI-driven applications.
• Integrate AI capabilities into existing software platforms to enhance functionality and user experience.
• Implement MCP and A2A communication patterns.
• Develop automated evaluation frameworks, quality gates, and release criteria for AI agents.
• Establish governance controls and Responsible AI practices.
• Monitor agent quality, latency, reliability, and costs; optimize performance.
• Design RAG architectures, vector databases, and knowledge solutions.
• Lead CI/CD pipelines with GitHub Actions and DevOps best practices.
• Collaborate with product, security, and engineering teams to deliver scalable AI solutions.

Skills

LLM-powered agents

Python/Java

REST APIs

Cloud platforms AWS/Azure/GCP

CI/CD GitHub Actions

Multi-agent workflows

Model Context Protocol (MCP)

Agent-to-Agent (A2A) communication

Knowledge graphs

Prompt engineering

Education

Bachelor’s degree in computer science/Software Engineering/Data Science

Master’s degree or PhD desirable

Tools

LangGraph

CrewAI

AutoGen

Semantic Kernel

Job description

Equinix in Redwood City is seeking an experienced engineering professional to lead the development and delivery of next‑generation AI‑powered platforms and agentic solutions. You will drive LLM‑powered agents, integrate AI into platforms, and establish governance and quality frameworks across product, architecture, security, and engineering teams.

You will design and implement automated evaluation, release criteria, and cost optimization, while advancing MCP, A2A, and tool orchestration.