Senior Technical Consultant - Agentforce (Salesforce development exp mandatory)
Salesforce1 day ago
Bengaluru, IndiaSenior
Responsibilities
- Lead end-to-end technical delivery of complex AI solutions, including personally writing code, configuring systems, troubleshooting, and reviewing junior team members’ work.
- Design and implement scalable Agentforce and LLM-based intelligent agents, automated workflows, and bespoke customer solutions.
- Own data modeling, processing pipelines, integration strategies, and enterprise data lifecycle activities.
- Lead technical engagements, translate customer needs into solution designs, and serve as the primary technical advisor.
- Debug complex system interactions, data flows, and AI model behaviors while driving root-cause analysis and optimization.
- Build proofs of concept and minimum viable products through rapid prototyping and iterative delivery.
- Apply and promote engineering best practices for code quality, scalability, security, and maintainability.
- Mentor junior team members and provide field insights that influence Agentforce product enhancements.
Requirements
- At least 5 years of hands-on experience delivering high-quality, scalable production solutions in a professional environment.
- Strong background in Computer Science or a related engineering discipline.
- Extensive hands-on experience with Agentforce, LLM integration, AI orchestration frameworks, prompt engineering, and agentic frameworks.
- Deep expertise in data modeling, processing, integration, and analytics, with experience using enterprise data platforms such as Salesforce Data Cloud, Snowflake, Databricks, or BigQuery.
- Significant experience with Salesforce platform configuration, customization, and complex development.
- Demonstrated ability to lead technical initiatives and engagements, mentor junior team members, and oversee technical project delivery.
- Exceptional written, verbal, collaboration, communication, and presentation skills for technical and non-technical audiences.
- Ability to travel up to 60% of the time to customer sites.
- Preferred: extensive Salesforce Data Cloud or Agentforce experience and conversational AI delivery in regulated industries.
- Preferred: expert-level professional Apex and LWC development experience.
- Preferred: customer-facing technical lead or architect experience.
- Preferred: advanced Salesforce certifications such as Platform Developer II, Application Architect, or System Architect.
- Preferred: knowledge of Salesforce Service, Sales, and Marketing Clouds; Salesforce Flows; and Lightning Web Components.
- Preferred: contributions to open-source AI frameworks or libraries.
Benefits
- Salesforce provides benefits and resources intended to support balance and employee well-being.
Tech Stack
DatabricksGoogle BigQuerySnowflake
Categories
Solutions Engineering
About Salesforce
Salesforce builds cloud-based customer relationship management software and a broader Customer 360 platform for sales, service, marketing, commerce, and analytics, sold by subscription to businesses and public-sector organizations. Founded in 1999 and headquartered in San Francisco, it trades on the NYSE under the symbol CRM. Its portfolio includes Sales Cloud, Service Cloud, Marketing Cloud, MuleSoft integration, Tableau analytics, and Slack for collaboration, with extensive developer tools and APIs.