Senior Technical Consultant
Salesforce · Posted Oct 19
Customer relationship management, cloud computing, enterprise software, and artificial intelligence solutions
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About the role
The role sits within Salesforce's customer success delivery organization and focuses on a multi-agent AI delivery platform that brings together multiple LLMs, public AI models, agents, tools, and workflows to support the Salesforce delivery lifecycle. The work spans AI platform engineering and Salesforce project delivery, with hands-on development in Apex, LWC, Flow, integrations, and APIs. The Senior Technical Consultant builds and evolves the platform, applies AI-first and agentic practices on delivery projects, resolves technical issues, and enables other developers to adopt these ways of working.
What you will 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 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.
- 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.
Skills used in this role
What the employer is looking for
- Builder: Comfortable building and shipping both Salesforce and AI solutions.
- AI Practitioner: Uses AI and agentic approaches as part of day-to-day development.
- Salesforce Technologist: Strong understanding of enterprise Salesforce development and architecture.
- Problem Solver: Can debug issues across AI, application, integration, and Salesforce layers.
- Enabler: Helps other developers and teams adopt agentic ways of working.
- Product Mindset: Turns project learnings into reusable platform capabilities.
- Collaborator: Works closely with architects, the AI platform owner, and delivery teams.
Preferred qualifications
- 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.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Salesforce
Salesforce, Inc. is a leading global cloud-based enterprise software company specializing in customer relationship management (CRM) and artificial intelligence solutions. Through its integrated Customer 360 platform, the company provides applications for sales, customer service, marketing automation, e-commerce, and analytics. Powered by innovations like Agentforce, Salesforce helps businesses bridge human capability with autonomous AI agents to drive customer success.
- Industry
- Cloud Computing
- Company size
- 87000+ employees
- Founded
- 1999
- Location
- San Francisco, California, USA
- Funding stage
- Public Company
Funding
Public Company · $25B raised
- 2026-03Post-IPO Debt$25B
- 2003-01Venture Round$1M
- 2001-06Series D$46.9M
- 1999-11Series C$13.2M
- 1999-06Series B$3.8M
Leadership
Chair, Chief Executive Officer & Co-Founder
President & Chief Operating and Financial Officer
Co-Founder & Chief Technology Officer, Slack
President & Chief Strategy Officer
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