Salesforce Solution Architect

Seminole Hard Rock Support Services; Florida; On-site; USD 165,000 - 210,000; Full time

Job summary

Seminole Hard Rock Support Services seeks an experienced Salesforce Solution Architect to lead design, development, and delivery of enterprise solutions across Salesforce Service Cloud, Data Cloud, Agentforce, and AI technologies. This role combines hands-on technical leadership with architectural ownership and collaboration with business stakeholders.

The ideal candidate has 10+ years of Salesforce platform experience, deep expertise in Service Cloud, Apex, LWC, Flow, and integrations, and a

Qualifications

• 10+ years of Salesforce platform experience, including hands‑on development, enterprise implementations, and solution architecture.
• Strong expertise in Salesforce Service Cloud, Apex, Lightning Web Components, Flow, SOQL, and platform security.
• Experience with Salesforce Data Cloud, Agentforce, and AI-powered solutions.
• Strong understanding of generative AI, LLMs, AI agents, prompt engineering, and enterprise AI integration concepts.
• Experience designing, developing, or integrating AI-powered solutions using Salesforce and/or other enterprise AI platforms.
• Knowledge of MuleSoft, REST/SOAP APIs, enterprise integrations, data architecture, and integration design principles.
• Demonstrated technical leadership experience guiding development teams, influencing architectural decisions, and driving successful enterprise solution delivery.
• Proven ability to independently own complex technical initiatives, coordinate cross‑functional activities, and manage multiple technical priorities.
• Experience translating business requirements into technical designs and supporting projects throughout the complete delivery lifecycle.
• Excellent analytical, troubleshooting, problem‑solving, communication, and stakeholder engagement skills.

Responsibilities

• Design, architect, and support Salesforce solutions using Service Cloud, Data Cloud, and Agentforce.
• Develop solutions with Apex, LWC, Flow, SOQL, and security configurations.
• Provide architectural guidance for enterprise integrations and APIs.
• Lead AI-powered initiatives using Agentforce, generative AI, and LLMs.
• Ensure security, performance, and maintainability of platforms.
• Collaborate with stakeholders to translate requirements into technical designs.

Skills

Salesforce experience

Service Cloud

Apex

LWC

Flow

SOQL

Security

AI-powered solutions

MuleSoft

REST APIs

SOAP APIs

Agentforce

Data Cloud

Architectural leadership

Delivery lifecycle

Stakeholder engagement

Problem solving

Communication

Tools

MuleSoft

REST APIs

SOAP APIs

Agentforce

Data Cloud

Apex

LWC

Job description

Our team members are the key to our company’s success, and their health and well-being, as well as that of their families, is very important to us. We offer a comprehensive benefits package that allows our team members stay healthy, plan for their future and maintain a healthy work-life balance. Benefits may vary with employment status. To see our fill list of Team Member Benefits please visit our career site: www.gotoworkhappy.com/benefits

Job Description

We are seeking an experienced, hands‑on Salesforce Solution Architect to lead the design, development, and delivery of enterprise solutions across Salesforce Service Cloud, Data Cloud, Agentforce, and emerging AI technologies. This role combines deep technical expertise with architectural ownership, technical leadership, and business collaboration. The ideal candidate will drive innovation, guide technical teams, and deliver scalable solutions while actively contributing to development, AI initiatives, and continuous platform improvement.

Responsibilities

• Design, architect, develop, and support enterprise Salesforce solutions primarily leveraging Service Cloud, Data Cloud, and Agentforce.
• Develop and maintain Salesforce solutions utilizing Apex, Lightning Web Components (LWC), Flow, SOQL, custom objects, security configurations, and other platform capabilities.
• Design scalable data solutions involving Salesforce Data Cloud, data ingestion, data modeling, identity resolution, and customer data unification.
• Provide architectural guidance for enterprise integrations, including REST/SOAP APIs, MuleSoft, and middleware technologies, collaborating with dedicated integration teams on implementation.
• Establish and maintain architecture standards, development best practices, technical documentation, and platform security.
• Conduct technical reviews, troubleshoot complex issues, optimize system performance, and ensure solutions are secure, scalable, and maintainable.

Artificial Intelligence & Innovation

• Lead the architecture and implementation of AI-powered solutions utilizing Salesforce Agentforce, generative AI, large language models (LLMs), and enterprise AI technologies beyond Salesforce.
• Evaluate, design, and integrate emerging AI technologies, platforms, and frameworks to support enterprise innovation, intelligent automation, and business transformation.
• Design and develop intelligent agents, conversational AI, automated workflows, and AI-driven solutions that improve customer experiences and operational efficiency.
• Apply AI concepts including prompt engineering, Retrieval-Augmented Generation (RAG), AI orchestration, and secure integration with enterprise data and applications.
• Research and evaluate emerging AI capabilities, develop proof-of-concepts, and identify opportunities to improve business processes through intelligent automation.
• Ensure AI solutions follow enterprise standards for security, data privacy, responsible AI, governance, and operational reliability.

Technical Leadership & Solution Delivery

• Provide technical leadership and architectural direction across Salesforce, AI, and enterprise technology initiatives, ensuring alignment with business objectives and technology standards.
• Serve as a key technical point of contact for business stakeholders, translating business requirements into scalable technical solutions and recommending appropriate approaches.
• Own technical solution delivery from requirements gathering, architecture, and design through development, testing, deployment, and production support.
• Guide internal developers and external partners through technical decisions, solution design, development standards, and issue resolution.
• Coordinate technical activities across development, integration, security, infrastructure, and other cross-functional teams to ensure successful delivery.
• Prepare technical estimates, assess project feasibility, identify risks and dependencies, and support project planning and prioritization.
• Conduct solution reviews, validate technical deliverables, and ensure quality, performance, and adherence to enterprise architecture standards.
• Proactively identify opportunities for platform optimization, process improvements, and technology innovation.

Qualifications

Required Qualifications

• 10+ years of Salesforce platform experience, including hands‑on development, enterprise implementations, and solution architecture.
• Strong expertise in Salesforce Service Cloud, Apex, Lightning Web Components, Flow, SOQL, and platform security.
• Experience with Salesforce Data Cloud, Agentforce, and AI-powered solutions.
• Strong understanding of generative AI, LLMs, AI agents, prompt engineering, and enterprise AI integration concepts.
• Experience designing, developing, or integrating AI-powered solutions using Salesforce and/or other enterprise AI platforms.
• Knowledge of MuleSoft, REST/SOAP APIs, enterprise integrations, data architecture, and integration design principles.
• Demonstrated technical leadership experience guiding development teams, influencing architectural decisions, and driving successful enterprise solution delivery.
• Proven ability to independently own complex technical initiatives, coordinate cross‑functional activities, and manage multiple technical priorities.
• Experience translating business requirements into technical designs and supporting projects throughout the complete delivery lifecycle.
• Excellent analytical, troubleshooting, problem‑solving, communication, and stakeholder engagement skills.

Preferred Qualifications

• Hands‑on experience implementing enterprise AI agents, RAG‑based solutions, AI orchestration, and integrations with external AI models.
• Experience with Salesforce Marketing Cloud and cross‑cloud architecture.
• Experience with Python, JavaScript, or similar programming languages.
• Experience providing technical guidance, mentoring developers, coordinating external partners, and overseeing solution delivery.
• Experience supporting large‑scale enterprise applications and mission‑critical production environments.

Preferred Certifications

Salesforce Architecture

• Salesforce Certified Application Architect
• Salesforce Certified System Architect
• Salesforce Certified Platform Integration Architect
• Salesforce Certified Platform Data Architect

Salesforce Platform & AI

• Salesforce Certified Agentforce Specialist
• Salesforce Certified Data 360 Consultant
• Salesforce Certified Platform Developer I / II

Additional AI & Cloud

• Relevant professional certifications in AI engineering, generative AI, cloud architecture, or enterprise AI technologies.