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AI Engineer, Product Software

Equinix


Job Location:

Redwood City, CA - USA

Yearly Salary: USD 142000 - 212000
Posted: 29 September 2026 (Yesterday)
Application Deadline: 27 December 2026
Vacancies: 1 Vacancy

Job Summary

Who are we

Equinix is the worlds digital infrastructure company shortening the path to connectivity to enable the innovations that enrich our work life and planet.

A place where tech thinkers and future builders turn bold ideas into breakthrough experiences we welcome your unique perspective.

Help us challenge assumptions uncover bias and remove barriersbecause progress starts with fresh ideas. Youll find belonging purpose and a team that welcomes youbecause when you feel valued youre empowered to do your best work.

Job Summary

Equinix 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

  • Bachelors degree in computer science Software Engineering Data Science

  • A Masters 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 : 142000 - 212000 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 Benefits

As an employee you become important to Equinixs 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 were providing you with the best package possible. So wherever you are in your career and life youll 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.

Equinix is committed to ensuring that our employment process is open to all individuals including those with a disability. If you are a qualified candidate and need assistance or an accommodation please let us know by completing this form.

Equinix is an Equal Employment Opportunity and in the U.S. an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race color religion creed national or ethnic origin ancestry place of birth citizenship sex pregnancy / childbirth or related medical conditions sexual orientation gender identity or expression marital or domestic partnership status age veteran or military status physical or mental disability medical condition genetic information political / organizational affiliation status as a victim or family member of a victim of crime or abuse or any other status protected by applicable law.

We use artificial intelligence in our hiring process. Learn more here.

This posting is for a backfill position meaning it is to fill an existing vacancy within our organization.

Required Experience:

IC


About Company

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Equinix, Inc. (Nasdaq: EQIX) connects businesses with partners and customers around the world through a global platform of high performance data centers, containing dynamic ecosystems and the broadest choice of networks. Platform Equinix connects more than 4,000 enterprises, cloud, d ... View more

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