Senior Technical Consultant — AI Engineering & Agentic Salesforce Delivery

Salesforce
Bengaluru
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 5-7 yearsSkills: ["Problem-solving","Collaboration","Technical leadership","Product mindset","Builder mindset"]

Build and evolve a multi-agent AI delivery platform that powers Salesforce project delivery across analysis, design, coding, testing, troubleshooting, documentation, and deployment. Work hands-on with agents, tools, workflows, integrations, prompts, and grounding, while delivering solutions as a senior Salesforce developer using Apex, LWC, Flow, APIs, and integrations. Help teams adopt agentic practices and turn PoCs into production-ready capabilities.

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FursaFursa
Salesforce
Salesforce
1 day ago

Senior Technical Consultant — AI Engineering & Agentic Salesforce Delivery

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Build and evolve a multi-agent AI delivery platform that powers Salesforce project delivery across analysis, design, coding, testing, troubleshooting, documentation, and deployment. Work hands-on with agents, tools, workflows, integrations, prompts, and grounding, while delivering solutions as a senior Salesforce developer using Apex, LWC, Flow, APIs, and integrations. Help teams adopt agentic practices and turn PoCs into production-ready capabilities.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Develop and enhance a multi-agent AI application, including agents, tools, workflows, integrations, and automations.
  • •Evaluate and work with multiple LLMs and public AI models, implementing orchestration, tool use, prompting, context management, grounding, and workflow execution.
  • •Serve as a senior resource on delivery projects, using AI and agentic development approaches to accelerate development activities.
  • •Build and review Salesforce solutions using Apex, LWC, Flow, integrations, APIs, and other Salesforce technologies while meeting architecture, security, quality, and engineering standards.
  • •Support projects with the AI delivery platform by diagnosing issues across applications, agents, LLMs, prompts, tools, integrations, and Salesforce components; implement sustainable fixes and improvements.

Key Requirements

  • •5–7 years of Salesforce/software engineering experience with strong hands-on Salesforce development skills.
  • •Strong experience with Apex, LWC, SOQL, Flow, APIs, integrations, and Salesforce metadata.
  • •Experience building multi-agent or agentic AI applications.
  • •Experience working with multiple LLM providers/models and AI concepts such as MCP, agent orchestration, RAG, vector search, or LLM evaluation.
  • •Hands-on experience with AI coding tools such as Claude Code, Cursor, Gemini, and similar tools.
Experience:5-7 yearsSalesforceAILLMAgenticEnterprise platforms
Skills:Problem-solvingCollaborationTechnical leadershipProduct mindsetBuilder mindset
Certifications:Platform Developer IIApplication ArchitectSystem Architect
Tech Stack:SalesforceAgentforceApexLWCSOQLFlowAPIsIntegrationsSalesforce metadataGitCI/CDCode reviewsTestingClaude CodeCursorGeminiMCPAgent orchestrationRAGVector search

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
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