AI Engineering & Agentic Salesforce Delivery (Bengaluru)

AI Engineering & Agentic Salesforce Delivery (Bengaluru)

12 Sep
|
Top Gen AI Jobs
|
Bengaluru

12 Sep

Top Gen AI Jobs

Bengaluru

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

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📌 AI Engineering & Agentic Salesforce Delivery (Bengaluru)
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