Senior Technical Consultant - Agentforce (Salesforce development exp mandatory)

Salesforce
Bengaluru
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsSkills: ["Problem-solving","Communication","Collaboration","Mentorship","Presentation"]

Lead end-to-end technical delivery of complex, production AI agentic solutions for strategic clients. Design and implement scalable systems and intelligent agents on the Salesforce platform, integrating LLMs and data pipelines across enterprise environments. Own data modeling, integration, debugging, and root-cause analysis, while mentoring junior peers and driving best practices. Partner with customers as a technical advisor from concept through deployment and continuous optimization.

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FursaFursa
Salesforce
Salesforce
13 hours ago

Senior Technical Consultant - Agentforce (Salesforce development exp mandatory)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Lead end-to-end technical delivery of complex, production AI agentic solutions for strategic clients. Design and implement scalable systems and intelligent agents on the Salesforce platform, integrating LLMs and data pipelines across enterprise environments. Own data modeling, integration, debugging, and root-cause analysis, while mentoring junior peers and driving best practices. Partner with customers as a technical advisor from concept through deployment and continuous optimization.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Drive hands-on, end-to-end technical delivery of complex AI solutions, including critical coding, system configuration, and troubleshooting.
  • •Design, develop, and implement scalable production systems, including LLM-based intelligent agents and automated workflows on Salesforce.
  • •Work with customers to engineer bespoke agentic AI solutions on Agentforce that integrate with existing customer ecosystems.
  • •Own the data lifecycle—data modeling, processing pipelines, and integration strategies—ensuring data is ready, optimized, and secure for AI applications.
  • •Identify and resolve complex technical blockers through debugging, root-cause analysis, and rapid prototyping; mentor junior peers and enforce engineering best practices.
Travel: Extensive travel

Key Requirements

  • •5+ years delivering hands-on, end-to-end scalable production solutions in a professional environment.
  • •Strong computer science (or related engineering) background.
  • •Extensive hands-on experience building and deploying solutions with Agentforce, integrating LLMs, and using agentic AI/orchestration and prompt engineering techniques.
  • •Deep expertise in data modeling, processing, integration, and analytics using enterprise data platforms (e.g., Salesforce Data Cloud, Snowflake, Databricks, BigQuery).
  • •Significant direct experience with Salesforce platform advanced configuration, customization, and complex development.
Experience:5+ yearsEnterprise data platformsSalesforceAILLMAgentic AI
Education:
Skills:Problem-solvingCommunicationCollaborationMentorshipPresentation
Certifications:Platform Developer IIApplication ArchitectSystem Architect
Tech Stack:SalesforceAgentforceLarge Language Models (LLMs)LLMsPrompt engineeringAgentic frameworksAI orchestration frameworksSalesforce Data CloudSnowflakeDatabricksBigQueryApexLightning Web Components (LWC)Salesforce FlowsSalesforce CRM (ServiceSalesforce CRM (SalesSalesforce CRM (MarketingDatamodellingData integrationData pipelines

Company Brief

Salesforce
Provides a leading cloud-based customer relationship management (CRM) platform with sales, service, marketing, analytics, and integration tools that empower businesses to manage customer relationships and digital transformation at scale.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 1999
Glassdoor
Glassdoor: 4.1
WebsiteLinkedInGlassdoor