Senior Salesforce Architect: AI‑Driven Platform & Integrations

TechDigital Group; Juno Beach (FL); On-site; USD 140,000 - 200,000; Full time

Job summary

TechDigital Group in Florida seeks an experienced Salesforce Architect to lead enterprise architecture across Sales Cloud, Service Cloud, and custom apps, ensuring security, scalability, and multi-org coherence. You will own the platform roadmap and drive AI-enabled delivery strategies.

You will oversee integration, data, and AI initiatives, mentor teams, and collaborate with stakeholders to translate complex requirements into scalable Salesforce solutions.

Qualifications

• 8+ years of hands-on Salesforce experience with architect scope.
• Expert-level Apex, LWC, Flows, and platform events.
• Experience with MuleSoft integrations.
• Strong data modeling and migration experience.
• Proven AI tooling usage in software delivery.
• CI/CD and DevOps practices with Salesforce DX.
• Salesforce Architect certifications required; CTA preferred.
• Experience in regulated utility or energy sectors is a plus.

Responsibilities

• Define and govern enterprise Salesforce architecture across Sales Cloud, Service Cloud, Experience Cloud, and custom platform applications—ensuring scalability, security, multi-org coherence, and long-term maintainability.
• Lead complex Salesforce customization efforts including Apex frameworks, LWC component libraries, advanced Flow orchestration, and platform event‑driven architecture.
• Establish and enforce coding standards, design patterns, DevOps best practices, and CI/CD pipelines via Salesforce DX, Git, and release management tooling.
• Drive architecture reviews, technical grooming, and platform health assessments across delivery teams and vendor partners.
• Own the Salesforce platform roadmap and align it to Client's IT strategic goals, operational priorities, and AI‑enabled delivery models.
• Architect and govern end‑to‑end integrations connecting Salesforce to enterprise systems including MuleSoft, Documentum, Excalibur, SAP, GIS/ESRI, and legacy platforms.
• Define integration contracts, error handling frameworks, retry/resilience patterns, and middleware orchestration strategies for real‑time and batch integration scenarios.
• Lead integration solutioning for complex, multi‑system workflows spanning case management, document handling, and regulated utility operations.
• Collaborate with MuleSoft Architects to evaluate, design, and harden integration layers supporting mission‑critical business processes.
• Guide REST/SOAP API design, Platform Events, Change Data Capture (CDC), and event‑driven patterns across multi‑vendor delivery teams.
• Own platform governance protocols including user access management, permission sets, profiles, inactive account monitoring, and org health standards.

Skills

Apex, LWC, Flows, SOQL/SOSL

MuleSoft

Data modeling

Generative AI tooling

Salesforce DX, Git, CI/CD

Multi-org architecture

Security & Compliance

Education

Salesforce Architect Certifications: Application Architect or System Architect

Certified Technical Architect (CTA) preferred

Tools

Salesforce DX

Git

CI/CD tooling

Job description

There will be 3 interviews.
1. 1 Internal screening will be conducted virtually before scheduling the client interview.
2. 2 client interviews will be conducted face-to-face at either the Juno Beach or Houston locations. Every candidate will participate in two rounds of interviews, both held in person at the specified offices.

Key Responsibilities
Platform Architecture & Customization
• Define and govern enterprise Salesforce architecture across Sales Cloud, Service Cloud, Experience Cloud, and custom platform applications — ensuring scalability, security, multi-org coherence, and long-term maintainability
• Lead complex Salesforce customization efforts including Apex frameworks, LWC component libraries, advanced Flow orchestration, and platform event-driven architecture
• Establish and enforce coding standards, design patterns, DevOps best practices, and CI/CD pipelines via Salesforce DX, Git, and release management tooling
• Drive architecture reviews, technical grooming, and platform health assessments across delivery teams and vendor partners
• Own the Salesforce platform roadmap and align it to Client's IT strategic goals, operational priorities, and AI-enabled delivery models

Integration Engineering
• Architect and govern end-to-end integrations connecting Salesforce to enterprise systems including MuleSoft, Documentum, Excalibur, SAP, GIS/ESRI, and legacy platforms
• Define integration contracts, error handling frameworks, retry/resilience patterns, and middleware orchestration strategies for real-time and batch integration scenarios
• Lead integration solutioning for complex, multi-system workflows spanning case management, document handling, and regulated utility operations
• Collaborate with MuleSoft Architects to evaluate, design, and harden integration layers supporting mission-critical business processes
• Guide REST/SOAP API design, Platform Events, Change Data Capture (CDC), and event-driven patterns across multi-vendor delivery teams

Data Engineering
• Own and drive Salesforce data architecture including data modeling, object relationships, schema governance, and master data management across multi-org environments
• Lead data migration strategies from legacy platforms (e.g., Microsoft Dynamics) to Salesforce — including transformation logic, validation frameworks, reconciliation protocols, and cutover planning
• Partner with the Enterprise Data Platform (EDP) and Salesforce Data Cloud teams to design scalable data pipelines, harmonize data structures, and ensure enterprise-wide data integrity
• Define and enforce data quality rules, deduplication strategies, and audit-ready data lineage standards aligned with NERC and utility-sector compliance requirements
• Evaluate and guide adoption decisions between custom EDP approaches and Salesforce Data Cloud, presenting trade-offs with executive-level clarity

Generative AI & Agentic AI Delivery
• Leverage Agentic AI platforms (Windsurf, Devin, or equivalent) daily for solution design, accelerated story creation, code generation, test automation, and technical documentation
• Apply and champion prompt engineering best practices — iterative prompting, session scoping, output peer review, and token management — ensuring AI output quality and delivery completeness
• Architect and integrate Salesforce Einstein AI, Agentforce, and GenAI-enabled flows into case management, portal, and enterprise automation workflows
• Lead AI-augmented SDLC practices at the platform level, establishing guardrails, quality gates, and responsible AI usage standards for the broader delivery team
• Drive and measure AI efficiency benchmarks including development velocity gains, BA/QA effort reduction, sprint throughput improvements, and labor cost optimization
• Contribute to Client's AI-first delivery strategy, including adoption of REWIRE and Agentic AI tooling across the 2026–2028 Salesforce roadmap

Governance, Security & Compliance
• Own platform governance protocols including user access management, permission sets, profiles, inactive account monitoring, and org health standards
• Ensure all solutions adhere to NERC compliance, utility-sector regulatory standards, and audit-ready documentation requirements
• Lead security architecture reviews, vulnerability assessments, and AppExchange product governance across Client's Salesforce orgs
• Establish release management protocols, change control governance, and technical debt reduction programs aligned with platform long-term health

Collaboration & Delivery Leadership
• Partner with business, product, and IT leadership to translate complex requirements into scalable, compliant, and high-impact Salesforce solutions with measurable business value
• Work closely with Business Analysts and Product Owners to shape epics, user stories, and acceptance criteria — leveraging AI tooling to accelerate story creation by ~50% and reduce BA/QA effort by 40–60%
• Lead, mentor, and develop Salesforce Tech Leads and developers across onshore and offshore delivery models, providing technical direction and removing delivery impediments
• Serve as the primary technical voice in Agile ceremonies — sprint planning, architecture reviews, backlog grooming, and retrospectives — driving engineering quality and delivery accountability
• Coordinate with QA leads to define test strategies, support SIT/UAT, and sustain defect counts below the 5% threshold across platform releases
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Required Qualifications
• 8+ years of hands-on Salesforce experience with a minimum of 3 years in a Salesforce Architect capacity
• Expert-level proficiency in Apex, LWC, Flows, SOQL/SOSL, platform events, and Salesforce platform internals
• Proven expertise in enterprise integration architecture using MuleSoft or equivalent middleware (REST/SOAP APIs, event-driven architecture, middleware patterns)
• Strong data engineering background including data modeling, ETL/ELT design, large-scale migrations, and data quality governance
• Demonstrated daily use of Generative AI and Agentic AI tools in a software delivery context with measurable productivity outcomes
• Hands-on experience with Salesforce DX, Git, CI/CD pipelines, and multi-org DevOps tooling
• Salesforce Architect certifications: Application Architect or System Architect (required); Certified Technical Architect (CTA) preferred
• Integration Architecture Designer and Data Architecture Designer certifications strongly preferred
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Preferred Qualifications
• Experience in regulated utility, energy, or infrastructure sectors with working knowledge of NERC compliance and audit requirements
• Familiarity with Salesforce Data Cloud, Einstein Analytics, Agentforce, and Field Service Lightning
• Hands-on experience with Windsurf, Devin, or similar Agentic AI coding and delivery platforms
• Knowledge of Documentum, Excalibur, or enterprise content management systems
• Background in multi-vendor offshore/nearshore delivery models and vendor governance
• MuleSoft Certified Architect or Integration Professional certification
• Familiarity with GIS/ESRI integrations or geospatial data platforms in a utility context
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