Description
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.
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 lessons learned from real project delivery.
- Collaborate with Technical Architects and the AI application owner to drive adoption and improve delivery outcomes.
Builder & Engineering Mindset
- 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.
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.