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Home/Jobs/AI Engineering & Agentic Salesforce Delivery
AI Engineering & Agentic Salesforce Delivery
Salesforce
Bengaluru
5-7 years
1 day ago
$56.6K–75.9K/yr
Full time
Onsite
Skills Required LLM
RAG
Agentic AI
LLM evaluation
Claude Code
Gemini
Agentforce agent orchestration multi-agent AI
AI
Salesforce
Apex
LWC
SOQL
Flow
Description The Senior Technical Consultant will lead AI platform engineering and Salesforce delivery using agentic development practices. This role bridges AI innovation with hands‑on Salesforce solution building.
Company: Salesforce
Role: Senior Technical Consultant — AI Engineering & Agentic Salesforce Delivery
Location: Bangalore, India
Experience
- 5–7 years of Salesforce/software engineering experience
- Strong hands‑on Salesforce development experience
- Experience building multi‑agent or agentic AI applications
- Experience working with multiple LLM providers/models
- Experience with MCP, agent orchestration, RAG, vector search, or LLM evaluation
- Hands‑on experience with Claude Code, Cursor, Gemini, or similar AI coding tools
- Experience integrating AI applications with Salesforce APIs, metadata, repositories, or development environments
- Experience with Agentforce or other enterprise AI/agent platforms
Qualification
- Salesforce Platform Developer II certification
- Salesforce Application Architect certification
- Salesforce System Architect certification
- MCP certification
Responsibilities
- Develop and enhance multi‑agent AI platform, including agents, tools, workflows, integrations, and automations
- Evaluate LLMs and public AI models for suitability across use cases
- Implement agent orchestration, prompting, context management, grounding, and workflow execution
- Build reusable AI capabilities for Salesforce projects and convert PoCs into production solutions
- Deliver Salesforce projects using AI‑first and agentic development approaches across analysis, design, coding, testing, troubleshooting, documentation, and deployment
- Build and review Salesforce solutions with Apex, LWC, Flow, integrations, and APIs while ensuring architecture, security, and quality standards
- Identify and automate repetitive development activities to improve developer productivity
- Support Salesforce projects using the AI platform, diagnose technical issues across agents, LLMs, prompts, tools, and Salesforce components, and implement sustainable fixes
- Guide developers and project teams in adopting agentic ways of working and AI‑assisted development
- Establish and share practical patterns, best practices, and lessons learned from real project delivery
Additional Responsibilities
- Follow modern engineering practices including Git, CI/CD, testing, code reviews, and maintainable design
- Balance rapid experimentation with scalability, security, reliability, and production quality
- Collaborate with Technical Architects and the AI application owner to drive platform adoption and improve delivery outcomes
- Act as a hands‑on developer who builds and ships working solutions rather than focusing solely on design or documentation
More Skills Lightning Web Components (LWC), Salesforce APIs, Integrations, Salesforce metadata, Cursor, Git, CI/CD, Testing, Code reviews, Vector search
Prepare for this role
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