9 hours ago
Pune, IndiaStaff+
Responsibilities
- Design and architect scalable, high-performance Salesforce Service Cloud solutions for enterprise clients.
- Lead technical design sessions, document technical solutions, and collaborate with stakeholders on requirements, deliverables, and expectations.
- Integrate predictive and generative AI capabilities into custom Salesforce environments and develop frameworks to measure AI performance and business value.
- Use developer assistants and agentic frameworks to accelerate implementation, review code, enforce standards, and optimize integrations and data migrations.
- Troubleshoot complex technical issues by analyzing logs and identifying performance bottlenecks.
- Support Salesforce pre-sales activities, including technical deep-dives and proof-of-concept development, as needed.
Requirements
- At least 10 years of overall professional experience, including at least 8 years architecting and implementing enterprise-scale Salesforce solutions.
- Experience with Salesforce Service Cloud architecture and implementation.
- Knowledge of Salesforce APIs, Apex, Visualforce, Lightning components, integration and ETL technologies, and mobile development within the Salesforce ecosystem.
- Experience with AI development tools such as Claude and GitHub Copilot.
- Familiarity with Agentforce, large-volume data design and modeling using AI platforms, agentic evaluation frameworks, and developer assistants such as Cursor and Claude is preferred.
- Knowledge of Salesforce pre-sales activities and the ability to liaise with Salesforce product teams is preferred.
- Bachelor's degree in Computer Science, Information Technology, or a related discipline is desired.
- Salesforce Certified Technical Architect and Salesforce Service Cloud Consultant certifications are desired.
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About Brillio
Brillio is a privately held digital engineering and enterprise AI services firm that helps Fortune 1000 companies modernize products, data, and infrastructure. It combines consulting and managed services with an accelerator platform (ADAM) across cloud, AI, data engineering, customer experience, and infrastructure workstreams. Founded in 2014 and headquartered in Dallas, it operates delivery centers across North America, Europe, and Asia, with focus areas that include healthcare and life sciences.