Salesforce AI Engineer

Salesforce, Inc.; Hyderabad, Pune District, Bengaluru; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

Salesforce, Inc. invites an experienced Senior Technical Consultant to lead AI platform engineering and Salesforce project delivery. You will architect, build, and optimize an AI-driven, multi-agent delivery platform and mentor developers on implementing AI-first practices within Salesforce projects.

The role blends Salesforce development with cutting-edge AI, requiring strong hands-on skills and the ability to guide teams through complex integrations and scalable solutions.

Qualifications

• 57 years of Salesforce/software engineering experience with hands-on Salesforce development skills.
• Experience building multi-agent or agentic AI applications.
• Experience 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.
• Salesforce certifications such as Platform Developer II, Application Architect, or System Architect.

Skills

Salesforce engineering

AI/LLM and agentic development

Problem solving

Tools

Apex

LWC

SOQL

Flow

APIs

Metadata

Job description

About the Role

The Senior Technical Consultant is a hands-on technical role spanning AI platform engineering and Salesforce project delivery. The role will contribute to building and enhancing the organization's multi-agent AI delivery platform, while also using the platform and agentic development approaches to deliver Salesforce projects.
The platform brings together multiple LLMs, public AI models, agents, tools, and workflows to support the Salesforce delivery lifecycle. The Senior Technical Consultant will help evolve these capabilities, support projects adopting the platform, and work as a senior Salesforce developer on delivery projects using AI-first and agentic development practices.
The ideal candidate combines strong Salesforce engineering expertise with AI/LLM and agentic development skills, and can build solutions, solve complex problems, and guide other developers in adopting new ways of working.

Preferred Qualifications

• 57 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.
• 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.
• Salesforce certifications such as Platform Developer II, Application Architect, or System Architect.