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Job Category
Enterprise Technology & Infrastructure
Job Details

ABOUT SALESFORCE

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we’re looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce’s core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
Digital Technology blazes the trail of enterprise IT at Salesforce. Grounded in our core values; Trust, Customer Success, Innovation, and Equality (Ohana); we do far more than run traditional IT. We co-create with our business partners to deliver scalable, secure, AI-powered, and revenue-critical capabilities on the world’s foremost Salesforce implementation (Salesforce on Salesforce). DET spans technology strategy, Salesforce on Salesforce, applications engineering, data & AI platforms, integration, collaboration, enterprise operations, architecture & governance, and program enablement.
We’re looking for a Technical Architect to design, govern, and guide delivery of cloud-native, Salesforce-first, AI-enabled solutions across our Revenue (Q2C) and eCommerce landscape. You will be the technical authority partnering with Solution Architects, Product Owners, Engineers, and Business leaders to ensure architectures are secure, performant, observable, and cost-efficient; and that they align to DET’s target state architecture, standards, and roadmap.
This role requires deep hands-on expertise with the Salesforce platform (RLM/CPQ, Sales/Service/Experience/Commerce Clouds, Data Cloud, Einstein/Agentforce), API & event-driven integration (MuleSoft, Kafka), modern front-end patterns, and GenAI/ML enablement, coupled with the ability to mentor engineers, codify best practices, and influence at scale. We are also looking for strong experience in building and architecting AWS services to support scalable and reliable enterprise applications.

MINIMUM QUALIFICATIONS

• 10+ years of relevant engineering/architecture experience; 3+ years in a lead/architect capacity.
• Deep hands-on expertise across the Salesforce ecosystem: RLM/CPQ, Sales/Service/Experience/Commerce Clouds, Apex, Lightning Web Components, Platform Events, Data Cloud, and MuleSoft.
• Proven delivery of mission-critical, high-volume integrations (REST, GraphQL, gRPC, event streaming with Kafka/RabbitMQ/EventBridge).
• Strong grounding in enterprise architecture domains (business, data, integration, security, infrastructure) and NFRs/operability.
• Experience implementing AI/ML or GenAI workloads (LLMs, inference pipelines, cost/perf tradeoffs, safety & governance) or strong willingness and demonstrable aptitude to ramp quickly.
• Proficiency in one or more of: Java, Apex, Python, JavaScript/TypeScript; strong understanding of OO patterns, testing strategies, and CICD.
• Demonstrated experience with eCommerce architectures (SF B2C/B2B Commerce, headless APIs, composable architectures) and their integration with Q2C/Revenue stacks.
• Excellent communicator; able to craft clear architecture narratives, diagrams, and executive-ready materials.
• Strong experience designing and building AWS services and infrastructure components, including hands-on work with serverless patterns, containerization, networking, security, and IAC.
• A related technical degree required.

PREFERRED QUALIFICATIONS

• Salesforce certifications such as Application Architect, System Architect, Integration Architect, Data Architect, Development Lifecycle & Deployment Architect; CTA a plus.
• Experience with observability stacks (New Relic, Datadog, Splunk, OpenTelemetry) and SRE practices.
• Hands-on experience with LLM orchestration frameworks, RAG patterns, vector databases, and prompt/retrieval evaluation.
• Familiarity with governance & compliance for AI (data privacy, model risk management, auditability).
• Knowledge of modern front-end architectures (LWC, React, micro frontends) and performance optimization at scale.
• Experience with Data Cloud, data modeling, and analytics/feature engineering for AI use cases.
• AWS Solution Architect certification or equivalent cloud architecture credentials preferred.