Senior Technical Consultant — AI Engineering & Agentic Salesforce Delivery
Salesforce
- Location
- India - Bangalore
- Work model
- On-Site
- Level
- Senior
- H-1B history
- 498 approvals (FY2023)
- Posted
- Sep 9, 2026
Skills
About this role
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Customer Success Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
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.
Key Responsibilities
AI Platform Engineering 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. Agentic Salesforce Delivery 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 activities including 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 within projects to automate repetitive development activities and improve developer productivity. Platform Support & Problem Solving 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. Enablement & Technical Leadership 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