Principal Software Engineer Salesforce AI

Who are we?

Job Summary

As a Salesforce AI Architect, you will lead the design and implementation of AI capabilities within the Salesforce ecosystem, focusing on intelligent agent frameworks (Agentforce), custom model integrations, and retrieval-augmented generation (RAG). This role is central to evolving our Salesforce platform into a more autonomous, context-aware environment that supports scalable, secure, and governed AI solutions.

You will partner closely with the architects, engineers, OCTO, the Salesforce Governance Lead, and data science teams to ensure alignment with enterprise architecture and responsible AI practices and drive innovation across GTM processes, sales intelligence, and customer engagement in support of our Lead-to-Cash Vision: "Make it easy for sellers to win and for leaders to coach and influence the outcome."

Responsibilities

• Architect and implement AI capabilities within Salesforce, including autonomous agents, orchestration layers, and intelligent workflows using Agentforce principles

• Design and deploy Retrieval-Augmented Generation (RAG) pipelines that connect Salesforce with external content sources (e.g., enterprise knowledge bases, vector databases, private LLMs).

• Lead the integration of custom and private AI models into Salesforce, ensuring secure, performant, and governed interactions across business processes

• Collaborate with Salesforce Platform teams to embed AI into declarative and programmatic components (e.g., Flows, Apex, LWC)

• Build scalable AI services interacting with Salesforce data and metadata, enabling intelligent decision-making and automation

• Partner with data science and ML engineering teams to operationalize models within Salesforce workflows

• Work closely with Salesforce Platform Architect, Cross-Domain Architects, OCTO, and Governance Leads to align AI architecture with enterprise standards and ethical guidelines

• Partner with Cross-Domain Architects and Product Owners to translate business needs into AI-enabled Salesforce solutions

• Support product teams in identifying opportunities for AI augmentation across Lead-to-Cash and customer lifecycle processes

• Define and enforce best practices for AI model integration, prompt engineering, data privacy, and performance optimization within Salesforce

• Contribute to improving governance frameworks for AI usage in Salesforce, including model lifecycle management, auditability, and responsible AI principles

• Stay current with Salesforce AI innovations (e.g., Einstein GPT, Prompt Builder, Copilot Studio) and broader industry trends

• Create prototypes and proofs of concept to refine and define requirements. Design solutions that facilitate data flow and communication between disparate systems

• Support the development of new lead-to-cash processes from Account to Opportunity and the implementation of spoke systems tied to lead-to-cash across Sales, Marketing, and Channels (e.g., SFDC Account Engagement, Clari, Anaplan, Zoominfo, etc.)

• Suggest best code practices for Salesforce/other Lead-to-Cash application capabilities, making key decisions on custom solutions as necessary and translating them to a high-performance technical solution

Qualifications

Must Have

• BS in Computer Science, Engineering, Machine Learning, or related field

• 5+ years of experience in Salesforce development or architecture, with at least 2 years focused on AI/ML integration within enterprise platforms

• Salesforce Certified Agentforce Specialist

• Strong understanding of Salesforce AI capabilities, including Einstein GPT, Prompt Builder, and Copilot Studio

• Hands-on experience with LLM integration into Salesforce workflows, including custom/private model orchestration

• Familiarity with Agentforce principles and autonomous agent design within Salesforce or similar platforms

• Strong communication skills with the ability to translate complex AI concepts into business-friendly language

• Proficiency in Apex, Lightning Web Components (LWC), and Salesforce APIs for building and integrating intelligent solutions

• Ability to collaborate with Salesforce Platform Architects, Cross-Domain Architects, OCTO, and Governance Leads to align AI architecture with enterprise standards

• Strong understanding of data privacy, security, and governance considerations in AI model deployment

Nice to Have

• MS in Computer Science, Engineering, Machine Learning, or related field

• Salesforce Certified Data Cloud Consultant

• Knowledge of Salesforce metadata architecture and how it can be leveraged for AI-driven automation

• Experience implementing Retrieval-Augmented Generation (RAG) pipelines using external content sources (e.g., enterprise knowledge bases, vector databases)

• Experience contributing to AI governance frameworks, including model lifecycle management and ethical AI practices

• Background in prompt engineering, vector search, or semantic retrieval techniques

• Ability to multitask, working on more than one assignment simultaneously

• Flexibility to support in other time zones, if required

The targeted pay range for this position in the following location is / locations are:

United States - Dallas Infomart Office DAI : 155,000 - 233,000 USD / Annual

Canada - Toronto Office TRO : 119,000 - 179,000 CAD / 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 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.

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.