Job SummaryEquinix is seeking a highly experienced and hands-on engineering professional to drive the development, and delivery of next-generation AI-powered platforms and customer-facing agentic solutions. This role combines software engineering excellence with deep expertise in Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), and modern cloud-native development practices.
The ideal candidate will lead the design and implementation of AI agents, establish engineering best practices, define quality and governance frameworks, and collaborate closely with product, architecture, security, and engineering teams to deliver scalable, secure, and reliable AI solutions that enhance customer experiences and business outcomes.
Responsibilities- Design, build, deploy, and maintain LLM-powered agents and AI-driven applications
- Integrate AI capabilities into existing software platforms to enhance functionality, automation, and user experience
- Implement tool integration using Model Context Protocol (MCP) and agent-to-agent (A2A) communication patterns
- Design and implement automated evaluation frameworks, quality gates, benchmarking processes, and release criteria for customer-facing AI agents
- Establish guardrails, human-in-the-loop approval mechanisms, escalation workflows, and Responsible AI governance controls
- Monitor and optimize agent quality, accuracy, latency, reliability, adoption, observability, and operational costs
- Design, implement, and maintain Retrieval-Augmented Generation (RAG) architectures, vector databases, and knowledge engineering solutions
- Troubleshoot agent failures and continuously improve agent performance through prompt engineering, context optimization, workflow orchestration, and evaluation feedback loops
- Design, build, and manage automated CI/CD pipelines using GitHub Actions (GHA) and modern DevOps practices
- Collaborate with cross-functional teams to gather requirements, define technical solutions, and deliver exceptional customer experiences
- Troubleshoot and resolve issues related to client interfaces, APIs, integrations, and end-user interactions
- Provide hands-on leadership in software architecture, design, development, automation testing, deployment, and operational support
- Drive architecture decisions and establish engineering standards for AI-powered platforms and services
- Partner with product managers, architects, security teams, and engineering leaders to define technical strategy and execution plans
- Evaluate emerging AI technologies, frameworks, tools, and industry best practices to drive innovation and continuous improvement
- Provide technical estimates, identify risks, and contribute to roadmap planning, prioritization, and delivery execution
Qualifications- Bachelor's degree in computer science, Software Engineering, Data Science
- A Master's degree or PhD is highly desirable
- 6+ years of experience in the full software development life cycle, including coding standards, code reviews, version control, build processes, and testing
- 6+ years of experience in software design, development, and algorithm related solutions
- 5+ years of programming with Python or Java languages
- 3+ years of experience in developing, deploying or optimizing ML models
- 3+ years of hands-on experience building LLM-powered applications, AI assistants, or autonomous agent systems
- Experience with prompt engineering, context engineering, tool calling, retrieval systems, and multi-agent workflows
- Solid experience designing APIs, microservices, distributed systems, and event-driven architectures
- Experience with agent frameworks and orchestration technologies such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar
- Experience working with MCP (Model Context Protocol), Agent-to-Agent (A2A) communication, and tool orchestration frameworks
- Experience with Anthropic, OpenAI, Azure OpenAI, Amazon Bedrock, Vertex AI, or similar AI platforms
- Knowledge-engineering experience including vector databases, embeddings, hybrid search, retrieval systems, and enterprise knowledge graphs
- Experience implementing AI observability, tracing, evaluation platforms, and cost optimization solutions
- Experience implementing automated testing, CI/CD pipelines, observability, and operational monitoring
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Experience in REST-based API development, API lifecycle management and/or client SDKs development
- Strong written and verbal communication skills, with the ability to explain complex concepts to non-technical stakeholders
- Self-motivated, with a passion for learning and staying up-to-date with the latest technologies in the field
- Ability to work independently and as part of a team, managing multiple tasks and projects simultaneously
- Monitor and analyze user feedback to drive continuous improvement in our applications
- Strong customer-first mindset with a focus on platform usability and adoption
- Ability to thrive in fast-paced, ambiguous environments
The targeted pay range for this position in the following location is / locations are:
United States - Redwood City Office GHQ : 142,000 - 212,000 USD / Annual
Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location.
The pay range shown is based on our compensation structure in place at the time of posting and may be updated periodically based on business needs. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training.
The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position.
Equinix BenefitsAs an employee, you become important to Equinix's success. We ensure all your benefits are in line with our core values: competitive, inclusive, sustainable, connected and efficient. We keep them competitive within the current marketplace to ensure we're providing you with the best package possible. So, wherever you are in your career and life, you'll be able to enhance your experience and bring your whole self to work.
Employee Assistance Program: An Employee Assistance program is available to all employees.
US Benefits: - Insurance: You may enroll in health, life, disability and voluntary plans that are designed for you and your eligible family members. - Retirement: You and Equinix may contribute to a retirement plan to help you plan for your financial future. - Paid Time Off (PTO) and Paid Holidays: You will receive an accrued amount of PTO each pay period along with various paid holidays for you to rest and recharge. Eligibility requirements apply to some benefits. Benefits are subject to change and may be subject to specific plan or program terms.
This posting is for a backfill position, meaning it is to fill an existing vacancy within our organization.
