You will lead architecture and delivery for Salesforce and AI-enabled service experiences, defining the technical blueprint for integrations, next‑gen agent desktop experiences, and automation frameworks. You will have a direct impact on improving agent efficiency and customer outcomes by combining deep platform knowledge with practical AI/ML application in service scenarios.
Your Role and Responsibilities:
- Lead the design and implementation of business solutions using Salesforce platform capabilities and enterprise architecture standards.
- Define the technical blueprint for integrating AI solutions (e.g., Agentforce) with existing Salesforce orgs and external systems, including authentication, data synchronization, and error handling.
- Architect AI-driven solutions to streamline agent workflows and automate service processes such as routing, recommendations, and knowledge surfacing.
- Design next‑gen agent desktop experiences for hyper‑efficient case resolution and personalized customer engagement.
- Define and enforce integration patterns (REST/SOAP APIs, streaming/event‑driven architectures, platform events), validating scalability and reliability.
- Provide technical leadership during large‑scale Salesforce deployments involving AI capabilities, driving implementation best practices and design reviews.
- Establish architecture artifacts including solution diagrams, data models, sequence diagrams, and operational documentation.
- Own platform governance considerations: data privacy, role‑based access, compliance, and change‑control processes.
- Mentor engineers and administrators, delivering training and knowledge transfer materials for ongoing operations.
Your Skills and Experiences:
- Solid, production‑proven experience (10+ years) in Salesforce architecture, development, or platform engineering, with proven experience leading technical delivery.
- Deep understanding of Salesforce Service Cloud, Agentforce architecture, and Salesforce AI capabilities.
- Advanced proficiency in Salesforce development, including Apex, Lightning Web Components (LWC), and declarative platform features.
- Strong integration experience with REST and SOAP APIs, middleware patterns, and event‑driven architectures (Platform Events, Change Data Capture, Streaming APIs).
- Experience designing and implementing AI/ML solutions that enhance agent workflows, such as recommendation engines, NLP for knowledge surfacing, and sentiment analysis.
- Knowledge of Data Cloud, Customer Data Platform (CDP) patterns, and using data to drive agent insights and personalization.
- Experience with large‑scale Salesforce deployments, including org strategy, packaging approaches, and multi‑org integration.
- Familiarity with DevOps for Salesforce, including CI/CD, metadata‑driven deployments, and automated testing.
- Experience with AWS or another cloud provider, and building/integrating agentic framework solutions with business applications.
- Fluent in English, both spoken and written, with an autonomous and problem‑solving mindset.
What you can expect from us:
- Remote‑friendly environment;
- Highly attractive salary and benefits;
- Great work‑life balance and flexibility;
- You will be part of a company where commitment, quality, and continuous improvement are core principles of our culture;
- Highly engaged tech community;
- International career opportunities;
- Focus on individual development.
About us:
xelerate.tech is passionate about software, tech, and people. We aim to attract the most talented engineers to deliver high-quality software products through highly performant teams.