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Senior Technical Consultant — AI Engineering & Agentic Salesforce Delivery

Salesforce

Bengaluru

5-7 years

Today

$56.6K–75.9K/yr

Full-time

Onsite

Skills Required LLM

RAG

Claude Code

Gemini

LLM Evaluation

Agent Orchestration

Agentforce

MCP

Salesforce

Apex

LWC

SOQL

Flow

APIs

Integrations

Description Hands-on senior technical consultant role spanning AI platform engineering and Salesforce project delivery. The role helps build a multi-agent AI delivery platform and uses agentic development practices to deliver Salesforce projects.

Company: Salesforce

Role: Senior Technical Consultant — AI Engineering & Agentic Salesforce Delivery

Location: India - Bangalore

Experience

- 5–7 years of Salesforce/software engineering experience
- Strong hands-on Salesforce development skills
- 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 certifications such as Platform Developer II
- Salesforce certifications such as Application Architect
- Salesforce certifications such as System Architect

Responsibilities

- Develop and enhance the multi-agent AI application, including agents, tools, workflows, integrations, and automations
- Work with multiple LLMs and public AI models and evaluate suitability for different use cases
- Implement agent orchestration, tool use, prompting, context management, grounding, and workflow execution
- Build reusable AI capabilities for Salesforce projects




- Prototype recent AI capabilities and convert successful PoCs into production-ready solutions
- Continuously experiment with emerging AI frameworks, models, and developer tools
- Work as a senior resource on delivery projects using AI and agentic development approaches
- Use the AI platform and associated agents, tools, and workflows across the Salesforce development lifecycle
- Apply agentic approaches to analysis, design, coding, testing, troubleshooting, documentation, and deployment
- Build and review Salesforce solutions using Apex, LWC, Flow, integrations, APIs, and other Salesforce technologies
- Ensure AI-assisted and AI-generated solutions meet Salesforce architecture, security, quality, and engineering standards
- Identify opportunities to automate repetitive development activities and improve developer productivity
- Support Salesforce projects using the AI delivery platform and resolve incoming technical issues
- Diagnose problems across the application, agents, LLMs, prompts, tools, integrations, and Salesforce components
- Work with Technical Architects and the AI application owner to identify root causes and implement sustainable fixes
- Identify recurring project issues and convert solutions into reusable platform capabilities
- Feed project experience and user feedback into continuous improvement of the AI platform
- Guide Salesforce developers and project teams in agentic ways of working and AI-assisted development
- Help teams understand when to use agents, AI tools, and platform capabilities effectively
- Establish and share practical patterns, best practices, and lessons learned from project delivery




- Collaborate with Technical Architects and the AI application owner to drive adoption and improve delivery outcomes
- Be a hands-on developer who builds and ships working solutions
- Balance rapid experimentation with scalability, security, reliability, and production quality

Additional Responsibilities

- Use AI-assisted development tools such as Claude Code, Cursor, Gemini, and similar tools
- Follow modern engineering practices including Git, CI/CD, testing, code reviews, and maintainable design
- Act as a key bridge between AI platform engineering and Salesforce delivery
- Use the platform to deliver real projects and solve adoption and technical challenges
- Enable other developers to adopt agentic ways of working

Nice To Have

- Experience with Agentforce or other enterprise AI/agent platforms

More Skills AI platform engineering, multi-agent AI applications, public AI models, agents, tools, workflows, prompting, context management, grounding, workflow execution, Salesforce metadata, vector search, Cursor, Git, CI/CD, testing, code reviews, maintainable design

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