Senior Technical Consultant - AI platform engineering and Salesforce project delivery

Overview

Senior Technical Consultant role spanning AI platform engineering (building a multi-agent AI delivery platform) and hands-on Salesforce project delivery using AI-first and agentic development practices.

What you'll do

• Develop and enhance the organization's multi-agent AI application, including agents, tools, workflows, integrations, and automations.
• Work with multiple LLMs and public AI models and evaluate their suitability for different use cases.
• Implement agent orchestration, tool use, prompting, context management, grounding, and workflow execution.
• Build reusable AI capabilities that can be leveraged across Salesforce projects.
• Prototype new 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 to accelerate and improve delivery.
• 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 how and when to use agents, AI tools, and platform capabilities effectively.
• Establish and share practical patterns, best practices, and lessons learned from real 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 rather than primarily a design/documentation role.
• 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.
• Balance rapid experimentation with scalability, security, reliability, and production quality.

What you'll need

• 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.
• 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.

Details

• Location: Bangalore, India.