Agentforce Salesforce Administrator - (Remote-United States)

EP Wealth Advisors, LLC; EUA; Presencial; USD 120 000 - 140 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Paid time off / holidays

Professional development

Competitive benefits package

401k with company match

Resumo da oferta

EP Wealth Advisors (EPWA) seeks a hands-on Senior Agentforce Engineer to build AI-powered advisor experiences on Salesforce. You will design, deploy, and support production-grade agents and the workflows that connect data, actions, and approvals across EPWA’s tech ecosystem.

Ideal candidates combine declarative Salesforce skills with engineering depth to deliver secure, reliable, and measurable agentic workflows in a regulated wealth-management environment.

Qualificações

• 5+ years of hands-on Salesforce platform engineering in enterprise environments.
• Hands-on experience building Agentforce agents or similar Salesforce AI/workflows.
• Strong Salesforce Flow experience with complex process automation.
• Apex development and ability to add custom actions / integration logic.
• Experience designing REST API integrations and external system connections.
• Knowledge of Data 360, data grounding, and governance in AI contexts.
• Experience with source control and release tooling (Git/GitHub, Gearset).
• Strong analytical, communication, and cross-functional collaboration skills.

Responsabilidades

• Agentforce Engineering: design, build, test, deploy, and support Agentforce agents with prompts, actions, and guardrails.
• Translate processes into reusable agent capabilities and multi-step workflows using declarative config, Flow, Apex, and custom actions.
• Build agents to improve advisor/client outcomes, reduce friction, and boost data quality and capacity.
• Refine agent behavior based on production results and evolving Salesforce capabilities.
• Integration & Workflow Engineering: implement secure integrations via REST APIs and Salesforce features; develop custom actions.
• Engineer end-to-end workflows with authentication, validation, retries, and human handoffs for sensitive processes.
• Data & Grounding: configure Data 360 and grounding patterns; ensure trusted data sources and proper data access.
• Agent Testing & Production Ops: establish testing practices, regression coverage, monitoring, and production validation.
• Governance, Security & Compliance: align with Cybersecurity, Risk, Privacy; design guardrails and auditability.
• Product & Business Partnership: collaborate with PMs, advisors, operations to shape AI use cases and track success measures.

Conhecimentos

Salesforce Platform Engineering

Agentforce experience

Salesforce Flow

Apex / integration logic

REST APIs

Data grounding / Data 360

Git / GitHub / release tooling

Analytical communication

Ferramentas

Agentforce concepts

Salesforce integration patterns

Flow / Apex development

Security and compliance practices

Descrição da oferta de emprego

EP Wealth Advisors (EPWA) is a wealth management advisory firm with over $49.1 billion as of June 30, 2026, serving predominately high net worth individuals. EPWA fosters an inclusive environment that offers opportunities for our associates to learn, grow and enhance their skills to take on new challenges to progress in their professional careers.

Role Overview

EP Wealth Advisors is seeking a hands‑on Senior Agentforce Engineer to help build the next generation of AI‑powered advisor and client experiences on Salesforce. This role goes beyond traditional Salesforce administration and will design, build, test, deploy, and support production‑grade AI agents and the workflows, integrations, custom actions, controls, and data connections that enable them.

You will work across Salesforce Financial Services Cloud, Agentforce, Data 360, APIs, and EP Wealth's broader technology ecosystem, partnering closely with Product, Salesforce Engineering, AI & Data Platforms, Cybersecurity, Risk, Compliance, business process owners, and strategic vendors. The ideal candidate combines strong declarative Salesforce skills with the engineering depth to build secure, reliable, measurable agentic workflows in a regulated wealth‑management environment.

Key Responsibilities

• Agentforce Engineering
  • Design, build, test, deploy, and support Salesforce Agentforce agents, including instructions, actions, decision logic, prompt templates, guardrails, escalation paths, and human handoffs.
  • Translate business processes into reusable agent capabilities and multi‑step workflows, selecting the right combination of declarative configuration, Flow, Apex, and custom actions.
  • Build agents focused on advisor and client outcomes - reducing operational friction, improving accuracy and data quality, increasing capacity, and enabling more timely and personalized interactions.
  • Continuously refine agent behavior based on production results, user feedback, business outcomes, and evolving Salesforce capabilities.

Integration & Workflow Engineering

• Design and implement secure integrations between Agentforce, Salesforce, and approved enterprise systems using REST APIs, Salesforce integration capabilities, middleware, and other approved patterns.
• Develop custom Agentforce actions and supporting Apex or integration logic when standard platform capabilities are insufficient.
• Engineer resilient end‑to‑end workflows with appropriate authentication, validation, exception handling, retries, transaction integrity, and human intervention for sensitive or transactional processes.
• Partner with Salesforce and platform engineering teams on reusable integration patterns that support agentic workflows across EP Wealth's technology ecosystem.

Data & Grounding

• Partner with the AI & Data Platforms team to define data requirements and configure Data 360, retrieval, grounding, permissions, and Salesforce‑side access patterns for agent use.
• Ensure agents use trusted, appropriately authorized data sources and that data quality, identity, freshness, and source‑of‑truth requirements are understood before deployment.
• Support Salesforce data processes and connectivity while avoiding duplicative data pipelines; partner with data engineering and governance teams where enterprise data products or upstream remediation are required.

Agent Testing, Quality & Production Operations

• Establish repeatable testing and evaluation practices for agents, including expected behavior, edge cases, ambiguous requests, missing data, permission boundaries, downstream failures, escalation, and human handoff.
• Build and maintain regression test coverage as prompts, actions, workflows, models, integrations, and underlying data change; partner with Product and business teams on production acceptance criteria.
• Monitor agent logs and execution behavior for reliability, action failures, response quality, performance, and user experience, and use the findings to drive ongoing improvement.
• Troubleshoot production issues across prompts, Agentforce configuration, Flow, Apex, permissions, integrations, grounding, and data; follow disciplined source‑control, deployment, release‑validation, and technical‑documentation practices.

Governance, Security & Compliance

• Collaborate with Cybersecurity, Risk, Compliance, Legal, and Data Governance to ensure Agentforce solutions meet EP Wealth standards for data access, privacy, authorization, auditability, records, and human oversight.
• Design explicit guardrails, approval steps, escalation paths, and controls for higher‑risk use cases, particularly workflows that take actions or interact with sensitive client information.
• Ensure agent interactions, data access, decisions, and actions can be appropriately logged, monitored, reviewed, and audited.

Product & Business Partnership

• Partner with Product Managers, business process owners, advisors, operations teams, and technology partners to shape high‑value AI use cases and translate business requirements into technically feasible agent designs.
• Participate in discovery, solution design, demos, user validation, and iterative feedback throughout the product lifecycle rather than treating Agentforce as a stand‑alone technical implementation.
• Define and track meaningful success measures - including adoption, quality, advisor capacity, operational efficiency, client experience, and business outcomes - and use them to prioritize improvements.

Qualifications & Experience

• 5+ years of hands‑on Salesforce platform engineering, development, or advanced configuration experience, ideally in Financial Services Cloud or another complex enterprise Salesforce environment.
• Hands‑on experience building Agentforce agents or comparable Salesforce AI, conversational AI, intelligent workflow, or bot solutions.
• Strong Salesforce Flow experience, including record‑triggered and screen flows, process automation, validation rules, and complex business‑process design.
• Working proficiency with Apex, including the ability to build or modify custom actions and integration logic when declarative capabilities are insufficient.
• Experience designing and consuming REST APIs and integrating Salesforce with external enterprise systems; familiarity with middleware and event/integration patterns is valuable.
• Strong understanding of Salesforce object models, security, permissions, sharing, data architecture, and production troubleshooting.
• Working knowledge of Agentforce concepts including instructions, actions, prompt templates, grounding, escalation, human handoff, and agent performance monitoring.
• Experience with Data 360 or similar approaches for enterprise data unification and AI grounding, with an understanding of data quality and governed access requirements.
• Experience with source control and release tooling such as Git/GitHub, Gearset, or comparable platforms, along with software testing, regression testing, and production validation practices.
• Strong analytical, communication, and problem‑solving skills, with the ability to work effectively across Product, Engineering, Data, Cybersecurity, Compliance, Operations, and business teams in an Agile or iterative delivery model.

Nice to Have

Salesforce certifications such as Agentforce Specialist, Platform Developer, Admin/Advanced Admin; MuleSoft or other enterprise integration experience; familiarity with OmniStudio, AI/LLM evaluation, prompt engineering, or agent observability; and experience in Wealth Management, Financial Services, or another regulated industry.

$120,000 - $140,000 a year

What We Offer

We offer a highly competitive suite of holistic benefits designed to help our team members balance their personal and professional life commitments. These include options designed to encourage employee's health, happiness, and financial well‑being.

• 11 Paid Holidays + 2 floating holidays
• 3 Weeks PTO
• Paid Volunteer Time
• Paid Parental Leave
• Flexible Work Schedule
• Highly subsidized Health, Dental, and Vision Plans
• 401k Retirement Account with company match contributions
• Free Mental Health services, Life Insurance, Long & Short-Term Disability Insurance
• Flexible Spending Accounts and Health Savings Accounts
• Employee Financial Education
• Employee Educational Expense Reimbursement
• Employee Charitable Donations
• Employee Referral Incentives
• Employee Team Building Activities
• Employee Assistance Program

EPWA is an equal opportunity employer. Prospective employees will receive consideration without discrimination because of race, creed, color, sex, gender, gender expression, gender identity, sexual orientation, age, religion, national origin, ancestry, mental disability, physical disability, medical condition, genetic information, marital status, military and veteran status, or any other basis protected by law.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. EP Wealth Advisors may use an AI‑enabled interview assistant during your interview to transcribe and summarize the conversation for recruiting and interview documentation purposes. The transcript and summary may be reviewed by EP Wealth Advisors personnel involved in the hiring process. AI tools support human review and do not make final hiring decisions. You may opt out of use of the AI interview assistant. If you opt out, the AI assistant will not join the interview, and your decision will not negatively affect your candidacy. If you need a reasonable accommodation or alternative process, please contact [email protected] .